Tech Lead Python GenAI Developer

This is a remote position.

We are looking for a Tech Lead Python GenAI Developer to anchor the backend engineering stream for next-generation GenAI products. This role is central to shaping architecture and delivery for LLM-driven assistants, enterprise knowledge platforms, document intelligence solutions, and conversational AI systems. You will lead design, development, integration, and optimisation of GenAI services across multiple business units.Responsibilities

• Provide technical leadership for Python-based GenAI services
• Design backend architecture for LLM products including routing, retrieval, memory and evaluation flows
• Build and optimise Python microservices exposing GenAI capabilities (FastAPI, Pydantic)
• Drive RAG pipeline design usingLangChainandLangGraph
• Define ingestion, chunking and embedding workflows for enterprise knowledge systems
• Integrate vector databases (Pinecone, Chroma, Weaviate)
• Establish standards for prompt lifecycle management, token strategy, and model selection
• Collaborate with frontend and platform teams to ensure smooth API consumption
• Lead evaluation cycles, latency reduction, and production-readiness measures
• Promote best practices in code quality, observability, DevOps, and cloud deployment

Requirements

• 6+ years of Python engineering experience with strong backend foundations
• Proven commercial experience building GenAI or LLM-centric systems
• Hands-on expertise withFastAPI, Pydantic, LangChain, LangGraph
• Strong understanding of embeddings, similarity search, and vector databases
• Experience running GenAI workloads in production environments
• Ability to lead engineers, make architectural decisions, and coordinate delivery
• English at B2+ level for daily collaboration

Nice to have

• Knowledge of LangSmith, TruLens, or other evaluation frameworks
• Experience with Azure OpenAI, Anthropic, or HuggingFace Hub
• Background in conversational orchestration or tool-calling architectures
• Ability to coach prompt engineers and data engineers

Benefits

• Solid, competitive salary
• Work in multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with stable project pipeline
• Fully remote model

Originally posted on Himalayas