GenAI Engineer

Sr. GenAI Engineer – GenAI / LLM / RAG / Amazon Bedrock

Location: Remote – India

Duration: 6 Months

Experience: 6–9 Years

Job Overview

We are seeking a Sr. GenAI Engineer to take technical ownership of the Change Intelligence and Chatbot components of a GenAI solution.

The ideal candidate will be highly hands-on and experienced in building production-grade LLM/RAG applications , with strong expertise in Amazon Bedrock, Python, vector search, embeddings, prompt engineering, and document intelligence .

You will translate solution architecture into working GenAI pipelines, drive implementation quality, and provide technical leadership and mentorship to other GenAI engineers.

Key Responsibilities

• Build document version comparison, change detection, and noise-suppression logic.
• Develop classification pipelines using Amazon Bedrock and rules engines.
• Build advanced RAG capabilities including re-ranking, self-RAG, grounding, and citations.
• Lead prompt engineering for chatbot Q&A and digest generation.
• Review code, mentor GenAI engineers, and perform technical QA.
• Collaborate on JSON schemas and chunking strategies for AI pipelines.
• Troubleshoot hallucinations, retrieval issues, and low-confidence model outputs.

Must-Have Experience

• 6–9 years in Software / ML Engineering.
• 2+ years building production LLM/RAG applications .
• Strong hands-on experience with Amazon Bedrock, Knowledge Bases, embeddings, and OpenSearch .
• Strong Python and prompt-engineering skills.
• Experience in document comparison, NLP classification, or information extraction .
• Experience mentoring engineers and leading AI component delivery.

Ideal Candidate

The ideal candidate is a hands-on Senior GenAI Engineer who has moved beyond experimentation and POCs and has built real-world, production LLM/RAG solutions .

Candidates with strong experience in Amazon Bedrock + RAG + Python + OpenSearch + prompt engineering + document intelligence will be preferred.