Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com This is a high-impact technical role. We are looking for a Senior AI Engineer to join our Cloud Platform initiatives. You will operate at the intersection of research cloud infrastructure and software engineering pioneering AI solutions to transform the Software Development Lifecycle (SDLC). Your primary mission is to build intelligent tooling copilots and automation that boost developer velocity optimize CI/CD pipelines and scale platform capabilities. This is a hands-on execution and research-driven role. You are responsible for designing benchmarking and deploying GenAI-driven solutions directly into internal developer platforms and infrastructure workflows. What To Expect In This Role (Responsibilities) AI for Developer Acceleration Build AI-powered tools internal assistants and copilots across each stage of the SDLC (code generation code reviews testing documentation and IaC generation) to reduce cognitive load and eliminate manual steps. Research & Prototyping Investigate benchmark and deploy GenAI solutions (e.g. LLMs RAG pipelines GitHub Copilot) to improve delivery pipelines reduce lead time and enhance system reliability. Platform & Delivery Innovation Prototype AI-driven platform features such as cost-aware autoscaling predictive incident resolution and automated root cause analysis within DevOps environments. Internal Developer Platform (IDP) Collaborate closely with Platform SRE and DevOps teams to integrate intelligent automation into the core engineering platform. Cross-Team Collaboration & Knowledge Sharing Partner with engineering leadership to identify operational friction test novel AI approaches and scale learnings through workshops and internal demos.
Technical & Infrastructure Foundation Senior-level proficiency with container orchestration (Docker Kubernetes) cloud environments (AWS or GCP) and Infrastructure-as-Code (Terraform Ansible). Development
Strong hands-on proficiency in Python and scripting languages (Bash or Go) to build across AI models internal tooling and cloud infrastructure codebases. AI/ML Proficiency Practical experience implementing Large Language Models (LLMs) and code-generation tools (e.g. Codex Claude StarCoder GPT family) into real-world software workflows. SDLC & DevOps Mastery Deep understanding of the complete Software Development Lifecycle (planning testing releasing monitoring) and modern CI/CD automation systems. Mindset & Communication Research-driven curious approach to evaluating new technologies combined with strong problem-solving skills and the ability to articulate complex AI solutions to technical teams.
Hands-on experience with Retrieval-Augmented Generation (RAG) architectures prompt engineering and custom model fine-tuning. Experience building scaling or contributing to Internal Developer Platforms (IDP). Published research open-source contributions or projects involving AI applied to software quality deployment safety or observability.
High-impact strategic role driving the future of AI-assisted engineering. Collaborative international environment with senior technical leadership. High autonomy to research prototype and implement cutting-edge GenAI workflows. Long-term engagement with competitive compensation and growth opportunities. Why Join Coderio? At Coderio we value talent and technical excellence. We are passionate about modern engineering high autonomy and building solutions that make a real difference.
an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to research and deploy next-generation AI solutions that elevate engineering teams apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
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