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
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.