Senior AWS AI Engineer

Hiring: Senior AWS AI Engineer – Agentic AI / Multi-Agent Systems

Location: Bangalore / Gurgaon / NCR

Experience: 6+ Years

Work Mode: As per project/client requirement

We are looking for a hands-on Senior AI Engineer with a strong software engineering background to build, deploy, and operate production-grade Agentic AI and Multi-Agent solutions on AWS.

This is an engineering and delivery role, NOT an architecture role.

Key Responsibilities

• Build and deploy multi-agent solutions using Python, LangGraph & LangChain

• Design and implement orchestration, tool calling, state/memory, checkpointing & Human-in-the-Loop (HITL)

• Implement MCP and A2A capabilities

• Develop RAG/LLM solutions integrated with enterprise APIs, data and business systems

• Build and operate AI solutions using AWS, Amazon Bedrock & Amazon Bedrock AgentCore

• Develop production APIs and integration services using FastAPI and related technologies

• Implement CI/CD, automated testing, AI evaluation, guardrails, observability and security controls

• Work with IAM, least privilege, secrets management and secure tool/API access

• Troubleshoot and optimize production solutions for reliability, performance, latency and cost

Must-Have Skills

5+ years of Software Engineering / AI-ML Engineering experience

Strong Python development skills

Strong hands-on experience with LangGraph & LangChain

Production experience with Agentic AI & Multi-Agent Systems

Hands-on experience with AWS, Amazon Bedrock & Bedrock AgentCore

Experience with MCP & A2A

Strong knowledge of RAG, LLMs, embeddings, vector search, tool calling, state/memory & HITL

Experience with APIs/FastAPI, Docker, Git & CI/CD

Experience with AI evaluation, guardrails, observability and production debugging

Production Experience – Mandatory

Candidates must have personally built, deployed and supported at least 2 production-grade Multi-Agent AI solutions.

POC-only, tutorial, certification or hackathon experience will not be considered sufficient.

Good to Have

• Terraform / CloudFormation

• Kubernetes / EKS

• OpenTelemetry / LangSmith

• SageMaker / MLflow

• Azure / GCP exposure

• SAP integration / SAP environment experience

Preferred Certifications

• AWS Certified Generative AI Developer – Professional

• AWS Certified Machine Learning Engineer – Associate

Hands-on production experience will be given priority over certifications.