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