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. ? Valuable 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.

📌 Senior AWS AI Engineer (Bengaluru)
🏢 Highbrow Technology
📍 Bengaluru