How do I apply for the Sr Agentic AI - AWS Engineer job at Philodesign Technologies Inc?

Use the apply link on this page: you apply directly with Philodesign Technologies Inc on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Philodesign Technologies Inc want for this Sr Agentic AI - AWS Engineer role?

The job description asks for Python, LangGraph, LangChain, AWS, Amazon Bedrock, Amazon Bedrock AgentCore, MCP and A2A. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Philodesign Technologies Inc?

Apply to the Philodesign Technologies Inc roles that match your experience, and tailor your resume to each job description: for this role that means showing Python, LangGraph, LangChain. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Sr Agentic AI - AWS Engineer job remote or onsite?

This is based in Pune City, Maharashtra.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Philodesign Technologies Inc, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Sr Agentic AI - AWS Engineer

Philodesign Technologies Inc

Pune City, Maharashtra, India

🚀 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 strong 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

Score my resume against this job, free →