We are looking for a hands-on Senior AI Lead to build and lead our AI activity.
You will own the architecture of LLM-based systems end to end.
Responsibilities
Lead the AI activity: define technical direction, architecture, standards and roadmap
Design and build AI agents and multi-agent workflows (tool use, planning, memory, orchestration)
Build production RAG pipelines: ingestion, chunking, embeddings, vector search, re-ranking
Integrate LLMs (OpenAI, Anthropic, Azure OpenAI, open-source models) with enterprise data and systems
Set up evaluation, guardrails, monitoring and cost/latency control (LLMOps)
Mentor the Mid-level engineer, run code reviews and keep delivery quality high
Work directly with management and customers to turn busi
Requirements: 6+ years of hands-on software development; strong Python (TypeScript / JAVA / C # an advantage)
2+ years building LLM / GenAI systems, with at least 2 systems delivered to production or real pilots
Led at least one AI system from idea to production as tech lead or architect
Proven hands-on experience with RAG and AI Agents / Agentic AI
Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel or MCP
Vector databases: Pinecone, Weaviate, Qdrant, Milvus, pgvector or Elasticsearch / OpenSearch
Cloud (AWS / Azure / GCP), Docker, APIs and CI/CD
This position is open to all candidates.