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Tech Lead Python GenAI Developer

Work from home Full-time role Hiring

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

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