Senior Product Development AI Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Define and drive the technical vision for GenAI, agentic AI, and Model Context Protocol (MCP)-based capabilities across multiple product lines. Lead prompt engineering, memory management, and MCP-based context orchestration for scalable AI systems. Design and optimize RAG, enterprise knowledge, and MCP-backed context platforms, including secure data ingestion and governance. Guide the integration of GenAI and agentic AI features into core products, APIs, and enterprise platforms. Drive production readiness covering reliability, observability, performance, and responsible agent behavior. Build company-wide GenAI, agentic AI, and MCP-based product platforms alongside scalable RAG and agent orchestration frameworks. Establish enterprise standards for AI quality, safety, and reliability while mentoring senior engineers.
Required Qualifications
- 5+ years of experience in software engineering and AI/ML
- proven delivery of GenAI and agent-based systems in real production environments
- Experience in building and scaling large, enterprise-grade GenAI solutions embedded into products
- Expert proficiency in Python
- Expert proficiency in distributed systems
- Expert proficiency in APIs
- Expert proficiency in microservices
- Expert proficiency in overall system design
- Hands-on expertise with LLMs
- Hands-on expertise with agent frameworks (LangChain, AutoGen, CrewAI, LlamaIndex, etc.)
- Hands-on expertise with agent orchestration patterns
- Deep knowledge of RAG architectures
- Deep knowledge of embeddings
- Deep knowledge of vector databases (FAISS, Pinecone, Milvus, Weaviate)
- Deep knowledge of advanced retrieval and evaluation techniques
Desired Qualifications
- Experience leading AI copilots, agentic platforms, or multi-product agent-based systems
- Familiarity with Model Context Protocol (MCP) and context standardization approaches
- Familiarity with AI governance frameworks, compliance, and regulated environments
- Contributions to internal AI platforms, open-source projects, or industry thought leadership
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