Osapiens is hiring an AI DevOps Engineer to build and operate the internal AI infrastructure that empowers our developers. You will integrate systems like Claude and Codex directly into engineering workflows, making AI a natural part of how we design, build, and maintain software.

What You'll Do

Design and operate our end-to-end AI platform, including RAG pipelines, retrieval, indexing, embeddings, and vector DBs.
Build MCP Servers, extensions, and integrations for IDEs, CI/CD systems, and internal tooling.
Create orchestration interfaces that allow AI agents to interact safely with internal systems.
Develop reusable agent skills for architecture reasoning, secure coding, test generation, and debugging.
Maintain and evolve a skill library aligned with engineering needs and platform adoption.
Automate code review, CI checks, and troubleshooting with LLM-based workflows.
Provide context-aware knowledge retrieval across codebases, logs, docs, incidents, and design artifacts.
Define guidelines for prompt engineering, model evaluation, and cost optimization.
Implement monitoring, audit logging, performance tracking, and access controls.
Partner closely with engineering, product, and QA teams.
Communicate platform strategy and progress to leadership.
Support developers in adopting and maximizing AI-based workflows.

What We're Looking For

A strong software engineering background with Python plus one systems language like Typescript or Java.
Experience with LLM APIs (OpenAI, Claude, Gemini) and agent frameworks (LangChain, LlamaIndex).
DevOps/MLOps expertise: Kubernetes, Docker, CI/CD, and observability.
Cloud architecture experience (AWS/GCP/Azure) optimized for AI workloads.
Hands-on knowledge of retrieval systems and vector databases like Pinecone or Weaviate.
Solid understanding of security, compliance, and safe AI usage.

Nice to Have

Experience with knowledge graphs, largescale ingestion pipelines, finetuning, or advanced prompting.
Background in developer experience, internal platforms, or productivity engineering.
Proven technical leadership and strong cross-functional collaboration skills.