Tech Lead - ML / AI (LLM Systems & Infrastructure)

5+ years of experience in ML/AI Engineering or MLOps Strong hands-on expertise with LLMs, LangChain, and vector stores (e.g., Qdrant, Pinecone) Proven experience deploying RAG or chatbot systems in production Proficiency with FastAPI, Docker, GitHub Actions, and Python packaging Independent decision-making and architectural leadership skills Fluency in English

Architect and evolve LLM-powered RAG pipelines Lead the technical direction of AI/ML systems Implement robust monitoring, evaluation, and security practices for AI workflows Guide hybrid retrieval, prompt engineering, and embedding strategies Oversee model integration, deployment, and scaling using Docker, FastAPI, and CI/CD Ensure GDPR compliance, RBAC, and audit logging in all AI processes