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.