Sr Agentic AI - AWS Engineer

Philodesign Technologies Inc; Pune District; Hybrid; INR 3,000,000 - 5,400,000; Full time

Job summary

Philodesign Technologies Inc in India is seeking a Senior Agentic AI Engineer to design, build, and productionize agentic AI and multi-agent solutions on AWS. You will write production-grade Python, implement MCP and A2A, and deploy services via FastAPI with CI/CD practices.

The role is hands-on with hybrid work mode across multiple Indian tech hubs; candidates with 5+ years in software or AI/ML engineering and proven production delivery of multi-agent systems using LangGraph and LangChain are

Qualifications

• Hands-on Python software engineering with 5+ years of experience.
• Built, deployed, and supported at least two production-grade multi-agent AI solutions.
• Experience with AWS, Bedrock, and Bedrock AgentCore.
• Experience with agent orchestration, tool calling, memory, HITL.
• Strong knowledge of RAG, LLMs, embeddings, vector search.
• CI/CD, testing, guardrails, observability, and security controls.

Responsibilities

• Build, deploy, and productionise Agentic AI and multi-agent solutions on AWS.
• Develop scalable AI software and production-grade APIs with FastAPI.
• Implement MCP and A2A capabilities.
• Ensure security, observability, and cost optimization.
• Prototype ideas and deliver production-quality solutions.

Skills

Python

Agentic AI

Multi-agent systems

AWS

LangGraph

LangChain

CI/CD

Tools

Docker

Git

FastAPI

AWS Bedrock

Bedrock AgentCore

Job description

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.

• 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
• 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.
• 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.

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.
• OpenTelemetry or LangSmith.
• SageMaker or MLflow.
• Exposure to Azure or GCP.
• Experience working in SAP environments or integrating AI solutions with SAP.

Preferred Certifications

Note: Practical production experience takes priority over certifications.

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