Full Stack AI/ML Engineer – AWS & Agentic AI (Remote)

Full Stack AI/ML Engineer – AWS & Agentic AI

Experience: 7+ Years
Job Type: Contract – 3 Months (Extendable)
Work Mode: Remote
Working Hours: 1:00 PM – 10:00 PM IST
Budget: Up to ₹1,00,000 per month
Open Positions: 1

Job Summary

We are looking for an experienced Full Stack AI/ML Engineer with strong hands-on experience in AWS, Generative AI, Agentic AI, Python, React, and TypeScript.

The selected candidate will be responsible for designing, developing, integrating, and deploying production-grade AI and Agentic AI applications using modern AWS services and AI frameworks.

Candidates with experience building and deploying real-world AI applications are preferred over candidates with only academic, research, or POC experience.

Key Responsibilities

• Design and develop scalable AI/ML and Agentic AI applications.
• Build backend services and APIs using Python and FastAPI.
• Develop responsive frontend applications using React and TypeScript.
• Build and integrate Generative AI and LLM-based applications.
• Develop RAG (Retrieval-Augmented Generation) pipelines.
• Design and implement AI agents and agentic workflows.
• Work with Amazon Bedrock and Amazon Bedrock AgentCore.
• Use Strands Agents and/or LangChain for agent development.
• Develop real-time integrations using REST APIs, WebSockets, and SSE.
• Work with PostgreSQL, Amazon RDS, and Aurora.
• Deploy applications using AWS services such as Lambda, ECS, ECR, S3, and API Gateway.
• Implement secure access using IAM, Cognito, KMS, and Secrets Manager.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines.
• Implement infrastructure using Terraform, AWS CDK, or CloudFormation.
• Monitor, troubleshoot, and optimize production AI applications.
• Collaborate with engineering and business teams to deliver scalable solutions.

Required Skills

• 7+ years of software engineering experience.
• Strong hands-on experience with Python and FastAPI.
• Strong experience with React and TypeScript.
• Strong AWS Cloud experience.
• Hands-on experience with Amazon Bedrock.
• Experience with Amazon Bedrock AgentCore.
• Experience with Strands Agents and/or LangChain.
• Strong understanding of Generative AI and LLMs.
• Hands-on experience with RAG.
• Experience with REST APIs, WebSockets, and SSE.
• Strong knowledge of PostgreSQL / RDS / Aurora.
• Experience with Docker and CI/CD.
• Experience with AWS Lambda, ECS, ECR, S3, and API Gateway.
• Knowledge of IAM, Cognito, KMS, and Secrets Manager.
• Experience with Terraform, AWS CDK, or CloudFormation.
• Strong understanding of software architecture and production deployment.

Preferred Experience

Experience in any of the following domains will be an advantage:

• Healthcare
• Pharmaceutical
• Life Sciences
• MedTech
• Clinical
• Regulatory
• Pharmacovigilance
• Medical Affairs

Important

We are particularly interested in candidates who have built and deployed production-grade AI/Agentic AI applications.

Candidates with only academic projects, certifications, experiments, or POC-level AI experience may not be suitable.

Contract Details

Duration: 3 Months, Extendable
Work Mode: Remote
Working Hours: 1:00 PM – 10:00 PM IST
Budget: Up to ₹1,00,000/month
Positions: 1

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

Work Location: Remote