AI / Agent Engineer (Principal / Lead)

Location: Bengaluru, India

Department: Platform Engineering

Experience: 8+ years

Skills: AWS Lambda, NestJS + PostgreSQL, Amazon S3, IAM / KMS / Secrets Manager, OpenTelemetry, AWS CloudFormation, AWS Bedrock, Python Agent Runtime, React / TypeScript, AgentCore Runtime

• Design and productionize agentic systems: multi-step orchestration, tool-calling, structured outputs, agent memory — deployed to AgentCore Runtime.
• Build the evaluation and guardrail layer that is the product’s reason to exist: source-grounding, omission / hallucination detection, eval suites, red-teaming, trust scoring, model inventory.
• Own model governance in-product: model bindings across providers, prompt-injection and least-privilege defenses, oversight rules, token / cost accounting.
• Push RAG / retrieval quality: hybrid search, reranking, multi-tenant knowledge, data-model-aware retrieval.
• Set the standard for how AI systems are built, evaluated and shipped here.

• 8+ years total; 3+ years building and productionizing LLM / agent systems.
• Demonstrated production work with: agent orchestration (LangGraph / LlamaIndex / Agents SDKs / MCP or equivalent), evals & guardrails (RAGAS / DeepEval / Langfuse or your own), and RAG.
• AWS Bedrock (or equivalent managed LLM infra); MLOps; strong Python; comfortable in TypeScript.
• An AI-security mindset: prompt-injection, least-privilege identity, data-leakage controls.