Full Stack AI/ML Engineer – AWS | Agentic AI-contract

Full Stack AI/ML Engineer – AWS | Agentic AI (contract)

Job Title: Full Stack AI/ML Engineer
Experience: 7+ Years
Contract Duration: 3 Months (Extendable)
Work Hours: 1:00 PM – 10:00 PM IST
Budget: Up to ₹1,00,000 per month
Work Mode: Remote / As per project requirement

Job Overview

We are looking for an experienced Full Stack AI/ML Engineer with strong hands-on expertise in AWS, Generative AI, Agentic AI, Python, React, and TypeScript to design, develop, deploy, and support production-grade AI applications.

The ideal candidate should have experience building enterprise applications where a web interface interacts with APIs, LLMs/AI agents, enterprise data sources, and transactional or analytical databases.

Key Responsibilities

• Design and develop end-to-end Full Stack AI/ML applications.
• Build responsive AI-driven interfaces using React and TypeScript.
• Develop scalable backend services and REST APIs using Python and FastAPI.
• Build and integrate Agentic AI workflows using:
• Amazon Bedrock
• Amazon Bedrock AgentCore
• Strands Agents
• LangChain
• Develop LLM and Generative AI applications, including RAG-based solutions.
• Implement agent orchestration, tool calling, memory/session management, structured outputs, and human-in-the-loop workflows.
• Integrate AI applications with enterprise databases and data sources.
• Work with PostgreSQL / Amazon RDS / Aurora, Amazon Redshift, S3, DynamoDB and vector storage solutions.
• Deploy applications using AWS services such as ECS/Fargate, Lambda, ECR, API Gateway, Cognito, CloudFront, IAM, CloudWatch, Secrets Manager and KMS.
• Develop secure and scalable AWS architectures following AWS Well-Architected principles.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, AWS CodePipeline/CodeBuild, or similar tools.
• Use Terraform, AWS CDK and/or CloudFormation for Infrastructure as Code.
• Perform debugging, performance optimization, code reviews, production support, and incident resolution.
• Implement AI quality controls, observability, evaluation, grounding checks, and cost/latency optimization.

Required Skills

Mandatory:

• 7+ years of professional software engineering experience.
• Strong Python development experience.
• Strong React + TypeScript experience.
• Hands-on AWS experience.
• Experience with Generative AI / LLM / Agentic AI applications.
• Hands-on experience with Amazon Bedrock.
• Recent hands-on exposure to Amazon Bedrock AgentCore.
• Experience with Strands Agents and/or LangChain.
• Strong experience with FastAPI / REST APIs.
• Experience with RAG, vector databases, embeddings, prompt engineering and LLM integration.
• Strong SQL and relational database experience, preferably PostgreSQL / Amazon RDS / Aurora.
• Experience with Docker and CI/CD.
• Understanding of AWS security, IAM, networking, monitoring and deployment.

Preferred Skills

• Healthcare / Life Sciences / Pharmaceutical / MedTech experience.
• Experience with regulated enterprise environments.
• Experience with Amazon Redshift.
• Experience building production-grade AI copilots, analytics applications, agent workflows, or AI-powered enterprise applications.
• Experience with AWS CDK, Terraform or CloudFormation.
• Experience with WebSockets, SSE and streaming AI responses.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Technology, or a related field is preferred.

Candidates with strong production experience in AWS + Agentic AI + Full Stack development are highly preferred.

Contract: 3 Months, Extendable
Budget: Up to ₹1,00,000/month
Work Hours: 1:00 PM – 10:00 PM IST

Pay: ₹90,000.00 - ₹100,000.00 per month

Work Location: Remote