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Innobiz · Remote

Full Stack AI/ML Engineer – AWS & Agentic AI

RemotePosted 2 days ago
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Stack mentioned

artificial-intelligenceawsagentic-aigenerative-aipythonreacttypescriptfastapilangchainllmragrest-apiwebsocketspostgresqldockerci/cdserverlessecss3identity-and-access-management

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

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