Lead Product Development AI Engineer
Core
Architect and deliver next-generation GenAI and agentic AI-powered product platforms that drive measurable business and customer impact.
Role type
Lead Product Development AI Engineer (Generative & Agentic AI)
Builds
Company-wide GenAI, Agentic AI, and MCP-based product platforms; Scalable RAG, agent orchestration, and context management frameworks
Domain
Enterprise software, Generative AI, Agentic AI, Model Context Protocol
Deliverable
production ML models | product features
Required skills
Python, distributed systems, APIs, microservices, system design, LLMs, agent frameworks (LangChain, AutoGen, CrewAI, LlamaIndex), agent orchestration, RAG architectures, embeddings, vector databases (FAISS, Pinecone, Milvus, Weaviate), retrieval techniques, evaluation techniques
Preferred skills
Leading AI copilots and multi-product agent-based systems, Model Context Protocol (MCP) familiarity, AI governance frameworks, compliance in regulated environments, open-source contributions, industry thought leadership
Technologies
LangChain, AutoGen, CrewAI, LlamaIndex, FAISS, Pinecone, Milvus, Weaviate
Responsibilities
Define and drive the technical vision for GenAI, agentic AI and MCP-based capabilities; Lead prompt engineering, memory management and MCP-based context orchestration; Design and optimize RAG, enterprise knowledge and MCP-backed context platforms; Guide the integration of GenAI and agentic AI features into core products and enterprise platforms; Drive production readiness covering reliability, observability, performance, and responsible agent behaviour
Seniority
Senior, hands-on IC with strategic leadership
