Job highlights

- Practical experience with LLM applications,prompt engineering,and RAG.
- Collaborate with architects,QA,and UI developers in an Agile delivery model. . Must-Have Skills . Strong Python (production-grade backend development). Hands-on AWS experience (Bedrock,Lambda,ECS,S3,IAM,API Gateway). .

Description Experience: 4 to 7 years overall, with hands-on Python and AWS

Role Summary The GenAI Developer builds and maintains backend services and APIs that power GenAI use cases on AWS. The role covers the full application lifecycle: developing Python services, integrating LLMs and vector search, implementing RAG workflows, and deploying secure, production-ready solutions. The developer works with solution architects and UI teams so that GenAI capabilities are reusable and easy to consume across use cases.

Key Responsibilities

- Design, develop, and deploy Python-based backend services and REST APIs (FastAPI) that expose GenAI capabilities.
- Build RAG pipelines end to end: data preparation, chunking, embedding generation, indexing, retrieval optimization, and response orchestration.
- Integrate LLMs through AWS Bedrock and related services, applying guardrails, prompt management, and responsible AI controls.




- Develop use case solutions that consume GenAI capability services and support UI integration of LLM responses.
- Deploy and run applications on AWS (Lambda, ECS, API Gateway, S3) with CI/CD, monitoring, and logging.
- Work with relational and vector data stores (PostgreSQL/MySQL on RDS, vector databases).
- Write unit and integration tests, review code, and follow secure coding and documentation standards.
- Collaborate with architects, QA, and UI developers in an Agile delivery model.

Must-Have Skills

- Robust Python (production-grade backend development)
- Hands-on AWS experience (Bedrock, Lambda, ECS, S3, IAM, API Gateway)
- Experience building and consuming REST APIs (FastAPI or similar)
- Practical experience with LLM applications, prompt engineering, and RAG
- Working knowledge of SQL databases and vector search

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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