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Technical Recruiter (Remote)

Role Technical Recruiter (Remote) Location Remote (Work from Anywhere) Job Type Full-Time Payout $160K - $300K/yr Role Overview This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing screening and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions. Key Responsibilities • Design implement and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency. • Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis. • Integrate Zara with applicant tracking systems HR databases and third-party job platforms via APIs. • Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. • Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Required Skills & Qualifications • Proficiency in Python including experience with machine learning frameworks like TensorFlow or PyTorch. • Strong background in natural language processing including experience with libraries such as spaCy or Hugging Face. • Experience building and deploying scalable AI systems in production environments. • Familiarity with cloud platforms (AWS GCP or Azure) and containerization tools like Docker. • Knowledge of SQL and NoSQL databases for data extraction and integration. • Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. • Experience with RESTful APIs and microservices architecture. • Background in data pipeline development and ETL processes. More About the Opportunity This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background experience or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Software Engineer, GPU Infrastructure (HPC)

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers engineers designers and more who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London New York City San Francisco Montreal Paris Berlin and Seoul. Join us! Why this team? The internal infrastructure team is responsible for building world-class infrastructure and tools used to train evaluate and serve Cohere's foundational models. By joining our team you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge with a strong focus on stability scalability and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. Please Note All of our infrastructure roles require participating in a 24x7 on-call rotation where you are compensated for your on-call schedule. As a Staff Software Engineer You Will Build and scale ML-optimized HPC infrastructure Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds ensuring high throughput and low-latency performance for AI workloads. Optimize for AI/ML training Collaborate with cloud providers to fine-tune infrastructure for cost efficiency reliability and performance leveraging technologies like RDMA NCCL and high-speed interconnects. Troubleshoot and resolve complex issues Proactively identify and resolve infrastructure bottlenecks performance degradation and system failures to ensure minimal disruption to AI/ML workflows. Enable researchers with self-service tools Design intuitive interfaces and workflows that allow researchers to monitor debug and optimize their training jobs independently. Drive innovation in ML infrastructure Work closely with AI researchers to understand emerging needs (e.g. JAX PyTorch distributed training) and translate them into robust scalable infrastructure solutions. Champion best practices Advocate for observability automation and infrastructure-as-code (IaC) across the organization ensuring systems are maintainable and resilient. Mentorship and collaboration Share expertise through code reviews documentation and cross-team collaboration fostering a culture of knowledge transfer and engineering excellence. You May Be a Good Fit If You Have Deep expertise in ML/HPC infrastructure Experience with GPU/TPU clusters distributed training frameworks (JAX PyTorch TensorFlow) and high-performance computing (HPC) environments. Kubernetes at scale Proven ability to deploy manage and troubleshoot cloud-native Kubernetes clusters for AI workloads. Strong programming skills Proficiency in Python (for ML tooling) and Go (for systems engineering) with a preference for open-source contributions over reinventing solutions. Low-level systems knowledge Familiarity with Linux internals RDMA networking and performance optimization for ML workloads. Research collaboration experience A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges. Self-directed problem-solving The ability to identify bottlenecks propose solutions and drive impact in a fast-paced environment. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits including a separate budget for mental health. RRSP matching 401K Pension Scheme. 100% Parental Leave top-up for up to 6 months for either parent. Annual enrichment benefits Arts & culture fitness/wellness quality time and a workspace improvement credit. Education & learning stipend for conferences courses and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote plus an annual company offsite. How And Where We Work Cohere is remote-friendly but we also have offices in Toronto London New York City San Francisco Montreal Paris Berlin and Seoul with more opening soon. For those in the office a daily lunch program plenty of snacks and regular community and social events. For those not near an office a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience we still encourage you to apply. We strive to create an inclusive work environment for all we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates but it doesn't limit the applications our recruiters may review or consider. Beware of Scams Cohere will never ask for payment or third-party services (e.g. CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Member of Technical Staff, Agent Code

Toronto, Ontario, Canada

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers engineers designers and more who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London New York City San Francisco Montreal Paris Berlin and Seoul. Join us! Why this role? Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere we’re pushing the boundaries of what’s possible with these technologies for enterprises and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents experiment with frontier models and collaborate with a team of talented engineers and researchers to build scalable production-ready solutions. At Cohere we blend engineering and research seamlessly—everyone contributes to both depending on their interests and organizational needs. We provide access to world-class compute resources data and talent to ensure you can do your best work. Note We have offices in London Toronto New York and San Francisco but we’re also remote-friendly! This team operates primarily between ET to CET time zones so we’re seeking candidates in locations that align with these hours for effective collaboration. As a Member of Technical Staff on the Agent Code team you will Stay up-to-date with the latest research in code LLMs agents and related fields implementing novel ideas into our systems. Design and implement scalable strategies to train code models and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team create SFT trajectories and work on existing and new RL algorithms Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users Lead experiments on our state-of-the-art compute infrastructure pushing the boundaries of what’s possible with frontier LLMs. You May Be a Good Fit If You Have A PhD in Computer Science Machine Learning or a related field with publications in top-tier venues (e.g. NeurIPS ICML ICLR ACL EMNLP). Deep expertise in code LLMs and agent systems with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models but have actively contributed to their development Hands-on experience with frontier LLMs and their applications in code generation or automation. Strong software engineering skills with proficiency in Python and PyTorch TensorFlow or similar frameworks. Experience with distributed systems cloud infrastructure and scalable architectures. A proactive self-motivated mindset with a passion for solving ambitious open-ended problems. What We Offer The opportunity to work on cutting-edge problems at the intersection of AI code generation and autonomous agents. Access to world-class compute resources data and a collaborative team of researchers and engineers. A remote-friendly flexible work environment with a focus on impact and innovation. Competitive compensation and benefits including equity in a fast-growing AI company. If you’re passionate about shaping the future of code LLMs and agent systems and thrive in a dynamic research-driven environment we’d love to hear from you! Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits including a separate budget for mental health. RRSP matching 401K Pension Scheme. 100% Parental Leave top-up for up to 6 months for either parent. Annual enrichment benefits Arts & culture fitness/wellness quality time and a workspace improvement credit. Education & learning stipend for conferences courses and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote plus an annual company offsite. How And Where We Work Cohere is remote-friendly but we also have offices in Toronto London New York City San Francisco Montreal Paris Berlin and Seoul with more opening soon. For those in the office a daily lunch program plenty of snacks and regular community and social events. For those not near an office a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience we still encourage you to apply. We strive to create an inclusive work environment for all we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates but it doesn't limit the applications our recruiters may review or consider. Beware of Scams Cohere will never ask for payment or third-party services (e.g. CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Data Engineer with AI skills

Data Engineer with AI skills Fully Remote Every day healthcare providers across the country navigate systems that are supposed to make care better faster and more affordable — and too often don't. Behind every claim every quality measure every interoperability standard is a doctor trying to treat a patient a clinic trying to stay open a family trying to understand their options. At Octave we partnered with the U.S. government to fix that. We're looking for a Data Engineer who is ready to bring those hard-won skills to a mission-critical program at the Centers for Medicare & Medicaid Services (CMS). This role is for someone bold enough to challenge outdated assumptions talented enough to translate complex healthcare operations into systems that actually work and motivated by the simple fact that better healthcare IT means better digital experience for millions of people. About Octave At Octave we're on a mission that matters. We partner with the US government to build digital solutions that directly impact millions of Americans—from agile software development and human-centered design to cloud services data analytics and AI/ML. We're a purpose-driven company where people come first and many roles are fully remote. The Role We are seeking a Mid-Level Data Engineer with AI skills to support the design development and implementation of software applications and data solutions. This role leads the development of application components data pipelines and integration processes for complex systems and contributes to system architecture data integration and performance optimization. The ideal candidate combines strong data engineering fundamentals with practical experience applying AI and machine learning techniques within data pipelines and platforms and works closely with technical and business stakeholders to deliver high-quality scalable solutions. What You'll Do • Provides information technology support for the design and implementation of software applications and data solutions. • Leads the development of application components data pipelines and integration processes supporting complex systems. • Implements data validation reconciliation and quality controls to ensure the accuracy completeness and traceability of data across pipelines and systems. • Contributes to system architecture data integration and performance optimization to ensure scalability reliability and data integrity. • Supports data observability monitoring and troubleshooting to identify data quality issues and improve pipeline reliability. • Supports testing implementation and continuous improvement efforts across data and application platforms. • Collaborates with technical and business stakeholders to deliver high-quality software and data solutions. • Designs and builds data pipelines that support AI/ML workloads including data preparation feature engineering and integration with model training and inference systems. • Applies AI-assisted development tools and techniques (e.g. LLM-based coding assistants intelligent automation) to improve development velocity and data quality. • Supports the integration of AI/ML models and services such as LLM APIs vector databases and retrieval-augmented generation (RAG) pipelines into production data workflows. • Applies AI/ML capabilities in accordance with CMS security privacy data governance and responsible AI requirements. What We're Looking For • Bachelor's degree in Computer Science Data Engineering Information Systems or a related field. • 4 years of experience in data engineering. • Proficiency in Python and SQL for data processing and pipeline development. • Experience working with structured and semi-structured data formats including JSON XML and CSV. • Experience building and maintaining ETL/ELT pipelines using tools such as Apache Airflow dbt or similar orchestration frameworks. • Experience with AWS cloud data platforms databases and associated services such as S3 OpenSearch DynamoDB AWS RDS Oracle. • Familiarity with AI/ML concepts and tools such as machine learning frameworks (e.g. scikit-learn PyTorch TensorFlow) LLM APIs or vector databases. • Understanding of software development best practices including version control (Git) CI/CD and automated testing. • Strong problem-solving skills and the ability to work both independently and collaboratively across technical and business teams. • Excellent written and verbal communication skills. • Solid understanding of the software development lifecycle (SDLC) and data engineering practices within Agile/Scrum or SAFe environments. Why Octave Purpose-driven work. You'll help modernize systems that touch the lives of millions of Medicare and Medicaid beneficiaries and the providers who care for them. A remote-first people-first culture. We build teams around trust flexibility and doing meaningful work together — wherever you are. Real influence. Your expertise will directly shape the systems CMS and its healthcare provider and beneficiary community rely on every day. A team that has your back. You'll join talented mission-aligned colleagues who care as much about how the work gets done as what gets built. Octave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior AI Engineer

Minneapolis, MN

Join a dynamic AI Center of Excellence as a Senior AI Engineer where you will help design and deliver innovative machine learning generative AI and agentic AI solutions that improve business outcomes and accelerate transformation. This remote opportunity offers the chance to work across teams build scalable cloud-native AI systems and help shape responsible AI practices in a collaborative mission-driven environment. Responsibilities Design develop deploy and support production-ready machine learning models for a range of business use cases. Build and operationalize generative AI solutions including retrieval-augmented generation and explore emerging agentic AI approaches. Develop and maintain end-to-end AI/ML pipelines covering data ingestion training evaluation deployment and monitoring in cloud environments. Integrate cloud-native and third-party AI services to improve delivery speed and business value. Ensure AI solutions are secure scalable dependable and cost-conscious. Create reusable tools frameworks and best practices to support and accelerate AI development across teams. Evaluate new AI technologies and platforms for feasibility scalability and alignment with business needs. Collaborate with data scientists architects product managers and stakeholders to translate business needs into effective AI solutions. Provide technical guidance and mentorship to help other teams adopt AI capabilities in their products and workflows. Skills Strong experience designing and deploying AI/ML solutions in real-world environments. Proficiency in Python and common ML/AI libraries such as TensorFlow PyTorch and scikit-learn. Solid understanding of machine learning algorithms deep learning concepts and generative AI techniques. Hands-on experience with cloud platforms and cloud AI services for scalable development and deployment. Working knowledge of data engineering SQL and feature engineering. Experience with ML Ops practices including CI/CD model monitoring and version control. Familiarity with containerization and orchestration tools in cloud-native environments. Ability to turn ambiguous business challenges into clear technical solutions. Strong communication skills for collaborating with both technical and non-technical partners. Preferred Skills Experience with agentic AI frameworks or related emerging AI technologies. Familiarity with AWS services such as SageMaker Lambda ECS S3 and IAM. Experience with Docker Airflow Kubeflow Git Jira and Confluence. Knowledge of responsible AI practices including bias mitigation and ethical deployment. Background working in regulated industries such as healthcare or finance. Advanced degree in a technical field. AI/ML certifications from cloud providers. Contributions to open-source AI/ML work or published research. We are committed to fostering an inclusive workplace where diverse backgrounds perspectives and experiences are valued and respected. We welcome candidates who share a passion for collaboration innovation and creating equitable solutions that make a meaningful impact. By applying for this position you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology including phone calls SMS/text messages or email which may be delivered by our virtual AI recruiter Alex. Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team we offer competitive compensation and benefits including medical dental vision and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $115000 - $175000 per year based on qualifications and experience.

Machine Learning (AI) Engineer (Hybrid)

Role Machine Learning (AI) Engineer (Hybrid) Location Remote Job Type Full-Time Payout $200K - $500K/yr Role Overview We are hiring for one of our clients seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency. Key Responsibilities • Design train and optimize machine learning models using Python TensorFlow and PyTorch frameworks. • Develop and maintain data pipelines to ensure high-quality input for model training and evaluation. • Implement MLOps practices to streamline model deployment monitoring and version control. • Collaborate with data scientists and software engineers to integrate AI capabilities into production systems. • Conduct performance benchmarking and A/B testing to validate model accuracy and business impact. Required Skills & Qualifications • Proficiency in Python TensorFlow and PyTorch for model development and training. • Experience with MLOps tools such as MLflow Kubeflow or SageMaker for deployment and monitoring. • Strong background in data preprocessing feature engineering and model evaluation metrics. • Familiarity with cloud platforms (AWS GCP or Azure) for scalable AI infrastructure. • Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines. More About the Opportunity This role offers a unique opportunity to work with a global leader in the Software Development industry contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background experience or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Senior Decision Intelligence Engineer - NBA

Become a part of our caring community Become a part of our caring community and help us put health first. We are looking for a skilled Decision Intelligence Engineer to design train and improve the reinforcement learning policy at the heart of Humana's Next Best Action platform. This role is hands-on and research-oriented. You will design and evaluate decision-making algorithms and instrument training pipelines. Additionally you will collaborate with data and platform engineers. Furthermore you will ensure the system operates correctly within the constraints of clinical eligibility rules and program-specific objectives. The Senior Decision Intelligence Engineer Is involved in all stages of software development including front-end development back-end development database integrations network and hosting management user interface user experience and back-end server management. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components andwork is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Required Qualifications Use your skills to make an impact 5+ years (post undergraduate level) of software engineering or quantitative research experience building and operating large-scale production systems with emphasis on data-intensive platforms recommendation systems optimization engines or simulation frameworks serving millions of users. 2+ years (post graduate level) of software engineering or quantitative research experience building and operating large-scale production systems with emphasis on data-intensive platforms recommendation systems optimization engines or simulation frameworks serving millions of users. 2+ years of hands-on experience implementing reinforcement learning operations research methods or simulation-driven decision systems in production. Relevant backgrounds include policy gradient and value-based RL (PPO A3C DQN CQL) stochastic dynamic programming discrete-event simulation or large-scale combinatorial or constrained optimization. Deep familiarity with Markov Decision Processes Bellman-equation-based value estimation reward or objective shaping exploration-exploitation tradeoffs and constraint formulation in real-world decision systems. Demonstrated ability to diagnose failure modes in learned or optimized policies instability poor credit assignment across long horizons and distributional shift across large populations. Proficiency in Python 3.x experience with PyTorch or TensorFlow for policy network or learned model implementation. Experience with Ray RLlib or equivalent distributed computation frameworks for large-scale training or optimization. Experience with Databricks PySpark and Delta Lake for large-scale ML or data pipelines processing tens of millions of records. Experience with MLflow for experiment tracking model registry and artifact management. Experience with shipping systems that operate reliably under production load not just research or prototype work. Preferred Qualifications Experience with multi-agent RL frameworks (PettingZoo or equivalent) or multi-agent simulation and coordination methods. Familiarity with operations research methods applicable to constrained sequential decisioning linear programming mixed-integer programming Lagrangian relaxation or constraint programming. Experience operating decision or optimization systems in regulated domains (healthcare finance or insurance) where member safety auditability and explainability are requirements. Experience building simulation environments using Gymnasium SimPy AnyLogic or equivalent frameworks for policy evaluation and backtesting. Familiarity with event-driven feedback loops and how disposition signals feed retraining or re-optimization pipelines. OpenTelemetry instrumentation experience for ML or optimization pipeline observability. Work Style Remote/Hybrid - Preferably Boston MA. Occasional travel to Humana's Tech Hubs for training or meetings may be required. Work Hours Typical business hours are Monday-Friday 8 hours/day 5 days/week some flexibility might be possible depending on business needs. Very minimal travel might be required for training meetings and/or conferences Work At Home Requirements WAH requirements Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided with payment for their internet expense. A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required. Satellite and Wireless Internet service is NOT allowed for this role. A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Interview Format As part of our hiring process we will be using on-demand technology provided by Hire Vue a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments. If you are selected to move forward from your application prescreen you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes. Your on-demand assessment will be reviewed and you will subsequently be informed if you will be moving forward to next round of interviews. SSN Task via Workday Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles. Work at Home Requirements To ensure Home or Hybrid Home/Office employees’ ability to work effectively the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria At minimum a download speed of 25 Mbps and an upload speed of 10 Mbps is required wireless wired cable or DSL connection is suggested. In certain roles the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel While this is a remote position occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills knowledge experience education certifications etc. $106900 - $147000 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description Of Benefits Humana Inc. and its affiliated subsidiaries (collectively “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits Humana provides medical dental and vision benefits 401(k) retirement savings plan time off (including paid time off company and personal holidays paid parental and caregiver leave) short-term and long-term disability life insurance and many other opportunities. Application Deadline 09-10-2026 About Us About Humana Humana Inc. (NYSE HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid families individuals military service personnel and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race color religion sex sexual orientation gender identity national origin age marital status genetic information disability or protected veteran status. It is also the policy of Humana to take affirmative action in compliance with Section 503 of the Rehabilitation Act and VEVRAA to employ and to advance in employment individuals with disability or protected veteran status and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions including but not limited to recruitment hiring upgrading promotion transfer demotion layoff recall termination rates of pay or other forms of compensation and selection for training including apprenticeship at all levels of employment.

Artificial Intelligence Engineer

AI Engineer (Mid-Senior) Company Solvedex Location LATAM (Remote) About Solvedex Solvedex is a fast-growing Talent-as-a-Service (TaaS) startup focused on delivering high-quality flexible talent solutions. We specialize in a fractional talent model that enables organizations to access top-tier professionals without the constraints of traditional hiring. As a small but ambitious organization we are building a scalable and modern approach to staffing and talent delivery helping companies stay agile while accessing the expertise they need when they need it. Role Overview We're looking for a Mid-Senior AI Engineer to design build and deploy AI-powered features and applications from LLM-based products to production-grade machine learning pipelines. You'll work across the full lifecycle—from prototyping and model/API selection to evaluation deployment and monitoring—partnering closely with product and engineering teams to turn AI capabilities into reliable scalable solutions for our clients. Key Responsibilities AI/ML Solution Design & Development ● Design build and deploy AI-powered features and applications including LLM-based products (chatbots copilots agents RAG systems). ● Develop and integrate solutions using LLM APIs (OpenAI Anthropic or similar) as well as open-source models. ● Build and maintain Retrieval-Augmented Generation (RAG) pipelines including chunking embeddings and vector database integration. ● Design and implement prompt engineering strategies fine-tuning and evaluation frameworks to improve model performance and reliability. Engineering & Productionization ● Write clean well-tested production-grade Python code for AI/ML services and pipelines. ● Build and maintain data pipelines for training evaluation and inference workflows. ● Deploy and monitor models and AI services in cloud environments (AWS Azure or GCP). ● Implement MLOps best practices versioning CI/CD for ML experiment tracking and observability. ● Optimize for latency cost and scalability in production AI systems. Collaboration & Technical Ownership ● Partner with Product Managers and Engineers to translate business problems into AI/ML solutions. ● Evaluate and recommend the right models frameworks and tools for each use case (build vs. buy open-source vs. API-based). ● Establish evaluation metrics and testing strategies to measure model quality safety and business impact. ● Document architecture experiments and decisions to support long-term maintainability. ● Stay current with the fast-evolving AI landscape and proactively bring new techniques and tools into the team. Requirements Must-Have ● 4–7 years of experience in Software Engineering Machine Learning or AI Engineering roles. ● Strong Python skills with experience building production-grade applications and services. ● Hands-on experience building applications with LLMs (OpenAI Anthropic or similar) including prompt engineering and API integration. ● Practical experience with RAG architectures embeddings and vector databases (e.g. Pinecone Weaviate FAISS pgvector). ● Solid understanding of machine learning fundamentals and experience with frameworks such as PyTorch or TensorFlow. ● Experience with cloud platforms (AWS Azure or GCP) for deploying and scaling AI/ML workloads. ● Familiarity with MLOps practices CI/CD model versioning monitoring and experiment tracking. ● Strong understanding of APIs data pipelines and system design for AI-driven products. ● Advanced English (C1) required for daily written and verbal communication with US-based cross-cultural teams. ● Comfortable operating in fast-paced ambiguous environments with evolving priorities. Highly Valued ● Experience with agentic frameworks (LangChain LlamaIndex AutoGen or similar). ● Experience fine-tuning or customizing open-source LLMs. ● Familiarity with containerization and orchestration tools (Docker Kubernetes). ● Experience working in startup or client-facing consulting environments. ● Exposure to responsible AI practices bias evaluation safety guardrails and data privacy considerations.

Senior Software Engineer

Remote or Austin, Texas

“In 36 months agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco Cofounder and CEO Striveworks The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production despite billions of dollars invested. The models perform in testing but they degrade in the real world. And when performance drops trust goes with it. Striveworks was built to solve that problem. What you’ll build Since 2018 we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance manages drift and sustains systems long after they leave the lab. As a Senior Software Engineer you will be a core contributor to the direction of the company. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python. We’re looking for people who are excited about our central development themes Everything as Code Cloud-neutral development User-centric design Hexagonal event-driven microservices architecture Optimizing deploying and refining AI models and algorithms What it’s like here We lead with trust treat each other with respect and use candor consistently kindly and constructively. We care deeply about our work and we find genuine satisfaction in doing it well. Above all we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice. What we’re looking for A bachelor’s degree in computer science or a related field or similar experience 6–8 years of hands-on development experience Excellence in Go C++ (17 or higher) Java (11 or higher) C (9 or higher) or Rust Proficiency in Python Experience with DevOps technologies CI/CD tools Git Docker Kubernetes Proven experience with cloud architecture commercial cloud OpenStack Experience in the design and development of performant scalable services Familiarity with database design and architecture relational and non-relational Ability to work cross-functionally and participate in or lead design discussions Ability to independently lead the software development life cycle from collaborating with product teams on requirements to executing technical design implementation and deployment Experience in knowledge sharing mentoring and coaching (i.e. onboarding code reviews leading junior engineers) Strong understanding of software development principles such as object-oriented programming design patterns documentation and agile methodologies Due to the nature of this role candidates must be a US person (a US citizen a US national or a Green Card holder) The following isn’t required but we’d love to see it Understanding of synchronous/asynchronous programming and concurrency Comfort with integrating deep learning libraries (e.g. PyTorch TensorFlow) Experience designing RESTful gRPC and/or GraphQL APIs Understanding of networked and distributed computing Knowledge of messaging systems (e.g. NATS Kafka RabbitMQ) Experience with workflow automation This position offers a fully remote work environment or you can work hybrid/on site at our office in northwest Austin TX. Compensation The anticipated base pay range for this position is $160000 to $200000/year. Striveworks’ total compensation package includes a competitive base salary equity grants and cash bonuses. Benefits include Medical/dental/vision insurance Voluntary life long-term disability accident and hospital indemnity insurance HSA and FSA (including dependent care FSA) plans 401(k) plan Unlimited PTO Paid parental leave Ready to build systems that work for a mission that matters? Let’s talk. Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race color religion belief sex (including pregnancy and gender identity or expression) national origin social or ethnic origin political affiliation sexual orientation marital status disability genetic information age membership in an employee organization retaliation parental status military service or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process please contact People Operations at hr@striveworks.us In compliance with federal law all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

Staff Application Security Engineer

Remote United States

Company Background Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence we set out to create the industry’s most comprehensive accurate and up-to-date map of the Internet. Today Censys delivers real-time Internet intelligence and actionable threat insights to global governments over 50% of the Fortune 500 and leading threat intelligence providers worldwide. Location This position is remote within the United States or Canada. Censys we’re on a mission to provide best in class internet visibility and intelligence to the global security community. Our platform helps security teams uncover hidden threats gain actionable insights and build proactive defense strategies. Trusted by organizations worldwide Censys cuts through the noise to surface the most critical risks enabling teams to respond faster and stay ahead of attackers. We’re constantly pushing the boundaries of what’s possible to help our customers see and secure the internet more clearly than ever before. Role Summary Censys is seeking a Staff Application Security Engineer to join our Infrastructure and Operations Platform (SRE) team. In this role you’ll own the application security strategy for how Censys builds and ships software — designing the secure paths guardrails and automation that let our engineers develop and deploy quickly confidently and securely. You’ll set technical direction across the software lifecycle from infrastructure-as-code and container security to secure deployment workflows and the security of our AI/ML-enabled services. As a security company we hold ourselves to the standard we help our customers achieve this role is central to making that real. We expect all of our employees to consider customer happiness as our primary goal and to come to work every day eager to learn and educate helping to make us a better organization every day. What You’ll Do Own and drive the AppSec/DevSecOps program roadmap across engineering defining the strategy for embedding security into the SDLC through shift-left practices paved roads and automation rather than gates Design build and maintain DevSecOps tooling in Kubernetes and Google Cloud Platform (GCP) including support for AI/ML workloads Lead the integration of security into CI/CD pipelines — code scanning secret detection software composition analysis and infrastructure policy enforcement — partnering with engineering teams to adopt them without friction Deliver capabilities such as hardened service templates secure service catalogs and guardrails that reduce developer cognitive load and risk across the organization Set the security architecture direction for AI/ML workflows implementing controls around model training deployment and inference pipelines including access control artifact validation input/output sanitization and model provenance tracking Partner with CorpSec on company security and compliance initiatives owning the engineering side of the requirements by designing and implementing controls for SOC 2 and ISO27001 audit readiness as well as improving tooling around BCDR infrastructure policies and service inventory accuracy Provide technical leadership and mentorship raising the security bar through design reviews threat modeling and pragmatic guidance to engineers across all teams Participate in a shared on-call rotation with the Infrastructure and SRE teams supporting production uptime and security incident response readiness What You’ll Bring 10+ years of experience in Security Engineering DevSecOps SRE or related roles with a track record of leading security initiatives that span multiple teams Deep expertise securing Kubernetes environments including container images network policies and supply chain protections (e.g. Helm Crossplane) Strong experience with Application Security tooling — dependency scanning static analysis and policy enforcement — integrated into CI/CD pipelines such as GitHub Actions and ArgoCD and the ability to bridge engineering practices with Security Operations Strong understanding of attacker tactics techniques and procedures (TTPs) and familiarity with frameworks like MITRE ATT&CK Strong grasp of cloud services (GCP preferred) especially securing data pipelines model hosting endpoints and related infrastructure Proficiency with Infrastructure-as-Code (Terraform Crossplane or similar) and security scanning for cloud resources Proficiency with scripting and automation (e.g. Python Bash) The ability to thoughtfully participate in technical discussions and drive towards data-driven decisions amidst ambiguity and competing priorities Strong communication skills and empathy for developer needs with a demonstrated ability to embed secure practices without creating friction What Sets You Apart Experience building or scaling an AppSec or DevSecOps program from early maturity including establishing paved roads and measuring adoption Familiarity with commercial security platforms such as Orca Security (CNAPP/cloud security posture) and Aikido Security (application security scanning) is a plus Experience securing ML toolchains (e.g. TensorFlow PyTorch) and familiarity with AI-specific threats such as data leakage model inversion prompt injection and adversarial inputs Hands-on experience integrating and managing Web Application Firewalls (WAF) anti-DDoS systems and edge protection technologies Familiarity with monitoring and observability systems (e.g. Prometheus Grafana OpenTelemetry) with a focus on detecting security anomalies Familiarity with AI governance and compliance standards (e.g. EU AI Act NIST AI Risk Management Framework) Strong interest in harnessing AI and LLM tools as a force multiplier — using them to code smarter iterate faster boosting productivity and enhancing product capabilities For high cost of living areas (San Francisco Bay New York City and Seattle) the expected salary range for this position is $198000 USD – $233000 USD plus bonus eligibility and equity. For all other US locations the expected salary range for this position is $172000 USD – $216000 USD plus bonus eligibility and equity. Job level and actual compensation will be decided based on factors including but not limited to individual qualifications objectively assessed during the interview process (including skills and prior relevant experience potential impact and scope of role) market demands and specific work location. The listed range is a guideline and the range for this role may be modified. For roles that are available to be filled remotely the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information. Censys offers a competitive benefits package to employees including equity health dental & vision coverage retirement with company contribution parental leave mental health & wellness benefits flexible PTO and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role participate in the interview process perform essential job functions and receive other benefits and privileges of employment. If you require accommodation please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job but successfully perform their job tasks to the same extent as people without disabilities. To ensure the integrity of our hiring process and facilitate a more personal connection we require all candidates to keep their cameras on during video interviews. Additionally if hired we would love to bring you to our HQ in Ann Arbor for in-person onboarding. By applying for this job the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy Our roots are in Ann Arbor Michigan and our innovation is fueled by the team’s global perspectives. For this role we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer LI-DNI Note to external recruiters/agencies We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team. Identity Verification As part of our hiring process all candidates who receive an offer of employment will be asked to complete an identity verification through CLEAR. California Privacy Rights Notice Pursuant to the California Consumer Privacy Act (CCPA) we are providing you with notice that we collect personal information from job applicants for business purposes including evaluating your candidacy for employment conducting interviews and if applicable completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information) professional or employment-related information (such as work history education and references) and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information and your rights under the CCPA please refer to our Privacy Policy