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Innobiz · Remote

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

RemotePosted 3 days ago
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artificial-intelligenceawsagentic-aigenerative-aipythonreacttypescriptfastapillmraglangchainrest-apiwebsocketspostgresqlecss3identity-and-access-managementdockerci/cdterraform

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

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