AI Programmer
1 hour ago
#Mumbai / Remote | # ; Full-time | # ; India’s 1st AI Financial OS
AI is India’s first protocol-governed AI Financial OS — built for Youth, Gen . We are building AI-driven financial services (Advisor, Literacy, Credit, SIP, Insurance, Retirement, Tax & Fraud Shield) with multi-agent orchestration via MCP (Model Context Protocol).
We’re on a mission to deliver Financial Dignity, Security & Freedom to crore Indians and achieve our Unicorn milestone.
Role: LLM Engineer (Agentic AI)
We’re looking for engineers who can design, build, and deploy agentic AI systems (multi-agent, explainable, guardrailed) for FinTech use cases. You’ll be part of the AI Core team, working on LLM pipelines, vector databases, orchestration, safety layers, and BFSI-grade compliance.
Build & fine-tune LLM pipelines (RAG, finetuning, prompt optimization) for BFSI use-cases.
Work with vector DBs (Pinecone, Weaviate, Qdrant) for financial knowledge retrieval.
Collaborate with backend (Node.js/Python) & frontend (React Native) teams for end-to-end delivery.
Create deterministic calculators (SIP, Tax, Retirement, Credit score simulations) with LLM reasoning integration.
Optimize vernacular NLP (English, Hindi, Marathi → other Indian languages).
Strong experience in LLM engineering & Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, DSPy, or MCP).
Proficiency in Python (FastAPI, Flask) & Node.js microservices.
Understanding of RAG systems, embeddings, and vector DBs.
Experience with cloud infra & DevOps (AWS, GCP, Azure, Indian GPU infra preferred).
Knowledge of BFSI/FinTech compliance (KYC, AML, RBI, SEBI, IRDAI guidelines) is a big plus.
Published projects or GitHub repos on multi-agent AI.
Prior experience in BFSI/FinTech startups.
Contributions to open-source LLM/AI frameworks.
Be a founding AI engineer in India’s Financial Revolution for Bharat’s Youth.
Competitive salary + ESOP/Phantom stock options.
Work with IIT Bombay alumni, CA/CFA/CFO leaders, and AI innovators.
Solve real problems → impact crore Indians.
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