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

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Requirements:

• 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.

Responsibilities:

• Architect and evolve LLM-powered RAG pipelines for seamless integration into our platform.
• Lead the technical direction of AI/ML systems, collaborating with backend and data teams.
• 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.