Tech Lead Python GenAI Developer
MadiffHimalayas
llm engineeringdevelopergenai developmentpython tech leadbackend engineeringtechnical leadpython developmentsenior genai engineergenai engineering leadtech lead llm and generative ailead python developergenai tech leadsenior gen ai developerai tech leadai technical lead
Job Description
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
