AI Retrieval & Agent Platform Engineer

AI Retrieval & Agent Platform Engineer - Job Detail | Careers Marketplace - Siemens AI Retrieval & Agent Platform Engineer Job ID 512534 Posted since 02-Jul-2026 Organization Siemens Energy Field of work Product Management, Portfolio & Innovation Company SIEMENS ENERGY INDIA LIMITED Experience level Experienced Professional Job type Full-time Work mode Office/Site only Employment type Permanent Location(s) - Bangalore - Karnataka - India We're building the next generation of enterprise AI infrastructure — and we need you to help make it intelligent, fast, and reliable. As an AI Retrieval & Agent Platform Engineer, you'll be a core contributor to our AI Factory, designing the retrieval and agent connectivity layer that powers our AI-driven decision-making at scale. If you're passionate about RAG pipelines, vector databases, and agent tooling — this is your role. How You’ll Make an Impact (responsibilities of role) Vector DB & Hybrid Retrieval - Stand up and tune vector databases (Pinecone/Weaviate/Qdrant/AWS-native) for similarity search at scale. - Design hybrid retrieval combining vector semantic search with graph context and business logic filters; implement re-ranking. - Manage embedding lifecycle (choice, diversity, refresh cadence, cold-start strategies). RAG & Contextualization - Build RAG pipelines pulling structured/unstructured context; implement chunking, metadata, and guardrails. - Integrate graph-derived context windows for multi-hop reasoning in agent workflows. Agent Connectivity (MCP) & Tooling - Implement MCP-based tool discovery/invocation for agent ↔ system interaction. - Wrap enterprise systems (Snowflake/MongoDB/SharePoint/ERP) as reusable tools/skills with clear schemas/capabilities. - Represent tool capabilities & dependencies as graph processes for orchestration; collaborate with graph team. Observability & Feedback Loops - Instrument agent KPIs (latency, accuracy, relevance, cost/execution); implement tra