About the Role

We are building next-generation GenAI capabilities for a fintech platform, and we are looking for a GenAI / Agent Developer to design and ship production-grade LLM applications.

You will own the end-to-end lifecycle of Retrieval-Augmented Generation (RAG) pipelines and agentic workflows from prototype to secure, scalable deployment on AWS. This is a hands-on engineering role for someone who has moved GenAI from notebooks into real, reliable products handling sensitive financial data.

Key Responsibilities
- Design, build, and maintain RAG pipelines - document ingestion, chunking, embedding, retrieval, re-ranking, and grounded generation.
- Design and orchestrate multi-step, multi-tool AI agents that plan, call tools/APIs, and complete complex financial workflows reliably.
- Develop and deploy GenAI solutions on AWS with production standards for scalability, observability, cost control, and security.
- Implement guardrails, evaluation, and monitoring to ensure accuracy, safety, and hallucination control on financial and regulated content.




- Integrate LLM services with internal APIs, vector stores, and knowledge/graph layers.
- Use Claude Code to accelerate development, prototyping, and code review.
- Partner with backend, semantic, and QA engineers to deliver features end-to-end.
- Continuously benchmark models, prompts, and retrieval strategies to improve quality, latency, and cost.

Mandatory Skills
- Python - solid, production-level proficiency (must-have).
- GenAI / LLM application development - hands-on experience shipping LLM-powered features to production.
- RAG architecture - practical experience designing retrieval pipelines (chunking, embeddings, retrieval, re-ranking, grounding).
- AWS - building and deploying applications on AWS services.
- Claude Code - comfortable using Claude Code (or equivalent AI coding assistants) in daily development.

Nice-to-Have Skills
- Vector databases (e.g., Pinecone, Weaviate, pgvector, OpenSearch, FAISS).

📌 Gen AI Engineer (Mumbai)
🏢 Accion Labs
📍 Mumbai