? Hiring: Senior Agentic AI Engineer – AWS We are looking for an experienced Senior Agentic AI Engineer with strong Python development skills and hands-on expertise in building, deploying, and supporting production-grade Agentic AI and multi-agent solutions on AWS. This is a hands-on engineering and delivery role focused on developing scalable AI solutions, experimenting with new approaches, and taking successful prototypes into secure, reliable production environments. ? Job Details
• Position: Senior Agentic AI Engineer – AWS
•

Experience:
5+ Years
• Work Mode: Hybrid
• Locations: Hyderabad | Bangalore | Chennai | Noida | Pune
• Notice Period: Immediate joiners or candidates serving notice up to 15 days preferred ?

Key Responsibilities
• Build, deploy, and productionise Agentic AI and multi-agent solutions using Python, LangGraph, and LangChain.
• Implement agent orchestration, tool calling, state management, memory, checkpointing, and Human-in-the-Loop (HITL) workflows.
• Develop and integrate Model Context Protocol (MCP) and Agent-to-Agent (A2A) capabilities.
• Build RAG and LLM-based applications integrated with enterprise APIs, data sources, and business systems.
• Develop and operate AI solutions using AWS, Amazon Bedrock, and Amazon Bedrock AgentCore.
• Build production-ready APIs and integration services using FastAPI and related technologies.
• Implement automated testing, CI/CD pipelines, AI evaluation, guardrails, observability, and security controls.
• Apply AWS IAM, least-privilege access, secrets management, and secure tool/API access practices.
• Troubleshoot and optimise production systems for reliability, performance, latency, and cost.
• Work independently from established designs, rapidly prototype ideas, and deliver production-quality solutions. ✅ Mandatory Skills & Experience
• 5+ years of software engineering, AI/ML engineering,



or related development experience.
• Strong hands-on Python software engineering skills.
• Proven production experience with Agentic AI and multi-agent systems using LangGraph and LangChain.
• Strong hands-on experience with AWS, Amazon Bedrock, and Amazon Bedrock AgentCore.
• Practical implementation experience with MCP and A2A.
• Strong understanding of RAG, LLMs, embeddings, vector search, tool calling, state/memory management, and HITL workflows.
• Experience with APIs/FastAPI, Docker, Git, CI/CD, automated testing, AI evaluation, guardrails, observability, and production debugging.
• Ability to independently build, deploy, and support secure, scalable AI applications. ⚠️ Critical Production Experience Requirement Candidates must have personally built, deployed, and supported at least two production-grade multi-agent AI solutions. POCs, tutorials, certifications, or hackathon projects alone will not be considered sufficient. Hands-on production delivery experience is essential. ⭐ Good to Have
• Additional AWS services and cloud-native development experience.
• Terraform or CloudFormation.
• Kubernetes / Amazon EKS.
• OpenTelemetry or LangSmith.
• SageMaker or MLflow.
• Exposure to Azure or GCP.
• Experience working in SAP environments or integrating AI solutions with SAP. ? Preferred Certifications
• AWS Certified Generative AI Developer – Professional.
• AWS Certified Machine Learning Engineer – Associate. Note: Practical production experience takes priority over certifications. ? Interested Candidates If you have robust hands-on experience building and operating production-grade Agentic AI solutions on AWS, please share your updated resume with details of your relevant projects, notice period, and preferred location. #Hiring #AgenticAI #AWS #AmazonBedrock #BedrockAgentCore #LangGraph #LangChain #Python #GenerativeAI #MultiAgentSystems #MCP #A2A #RAG #AIEngineer #TechHiring

📌 Sr Agentic AI (Pune)
🏢 Philodesign Technologies
📍 Pune