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Full Stack AI/ML Engineer – AWS & Agentic AI

  • Source: Indeed
  • Innobiz
  • Remote
  • India
  • Mid level

Job Description

Full Stack AI/ML Engineer – AWS & Agentic AI

Job Description

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

About the Role

We are looking for a Full Stack AI/ML Engineer with strong hands-on experience in AWS, Generative AI, Agentic AI, Python, React, and TypeScript to build and deploy production-grade AI applications.

The ideal candidate should have experience taking AI/Agentic AI solutions from development to production, rather than working only on POCs or academic projects.

Must-Have Skills

  • 7+ years of software development experience
  • Python, FastAPI
  • React, TypeScript
  • AWS Cloud
  • Amazon Bedrock
  • Amazon Bedrock AgentCore
  • Strands Agents and/or LangChain
  • Generative AI, LLMs
  • RAG (Retrieval-Augmented Generation)
  • REST APIs, WebSockets, SSE
  • PostgreSQL, RDS, Aurora
  • Docker and CI/CD
  • AWS Lambda, ECS, ECR, S3, API Gateway
  • IAM, Cognito, KMS, Secrets Manager
  • Terraform / AWS CDK / CloudFormation

Responsibilities

  • Design and develop production-grade AI and Agentic AI applications.
  • Build LLM and RAG-based solutions using AWS services.
  • Develop backend APIs using Python/FastAPI.
  • Build frontend applications using React and TypeScript.
  • Design and implement AI agents and agentic workflows.
  • Integrate AWS services including Bedrock, Lambda, ECS, S3 and API Gateway.
  • Develop secure, scalable and highly available applications.
  • Work with PostgreSQL/RDS/Aurora databases.
  • Implement Docker-based deployments and CI/CD pipelines.
  • Collaborate with engineering teams to deliver production-ready solutions.

Preferred

Experience in Healthcare, Pharmaceutical, Life Sciences, MedTech, Clinical, Regulatory, Pharmacovigilance, or Medical Affairs is an advantage.

Important Screening Requirement

Please apply only if you have hands-on experience building and deploying production-grade AI/Agentic AI applications. Candidates with only academic projects or POC-level experience may not be suitable.

Keywords for Cutshort

AI/ML, Generative AI, Agentic AI, AWS, Amazon Bedrock, Bedrock AgentCore, Strands Agents, LangChain, RAG, LLM, Python, FastAPI, React, TypeScript, PostgreSQL, Docker, Terraform

For Cutshort, I recommend keeping the title exactly as above because it immediately tells candidates this is a senior technical AI + AWS role.

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

Work Location: Remote

Skills

  • amazon-web-services
  • mode
  • Python
  • FastAPI
  • React
  • TypeScript
  • microsoft-typescript
  • bedrock
  • LangChain
  • PostgreSQL
  • amazon-rds-for-mysql
  • amazon-aurora
  • Docker
  • aws-lambda
  • amazon-ecs
  • amazon-ecr
  • amazon-s3
  • amazon-api-gateway
  • Terraform
  • aws-cloudformation
  • cutshort
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