As an LLM Engineer (Agentic AI) at Fin 100X.AI, you will play a crucial role in designing, building, and deploying agentic AI systems specifically tailored for FinTech use cases. Your primary focus will be on creating and refining LLM pipelines for BFSI applications, implementing multi-agent orchestration logic, ensuring explainability, audit trails, and compliance guardrails, as well as collaborating with backend and frontend teams for end-to-end project delivery. **Key Responsibilities:** - Build and fine-tune LLM pipelines (RAG, finetuning, prompt optimization) for BFSI use-cases. - Develop multi-agent orchestration logic using MCP, CrewAI, LangGraph, and AutoGen. - Implement explainability, audit trails, and compliance guardrails according to regulatory guidelines (RBI, SEBI, IRDAI, PFRDA). - Work with vector databases such as Pinecone, Weaviate, and Qdrant for financial knowledge retrieval. - Collaborate with backend (Node.js/Python) & frontend (React Native) teams to ensure seamless integration. - Create deterministic calculators for SIP, Tax, Retirement, and Credit score simulations with LLM reasoning integration. - Optimize vernacular NLP capabilities in English, Hindi, Marathi, and other Indian languages. **Qualifications Required:** - 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 databases. - Experience with cloud infrastructure & DevOps (AWS, GCP, Azure, Indian GPU infra preferred). - Knowledge of BFSI/FinTech compliance standards (KYC, AML, RBI, SEBI, IRDAI guidelines) is advantageous. - Desired mindset: Builder, hands-on coder, startup speed, compliance-aware. At Fin 100X.AI, you will have the opportunity to be a founding AI engineer in India's Financial Revolution for the Youth, working alongside industry leaders and AI innovators. In addition to a competitive salary, you will have the chance to earn ESOP/Phantom stock options and contribute to solving real-world challenges that impact millions of Indians.,
about us Fin 100X.AI is building Bharat’s Financial Operating System — empowering Youth's with financial dignity, security, and freedom. Backed by IIT Bombay alumni & CFO-level expertise, we’re unifying 10 intelligent modules — from Fin AI to Fraud Shield — under one AI-driven platform. If you’re passionate about data, AI, and financial inclusion at scale, this is your chance to shape the future of finance for 100+ crore Indians. 🎯 Role Overview As a Data Scientist & Analytics Lead, you’ll turn raw financial & behavioral data into predictive insights, risk intelligence, and youth-first financial journeys. You’ll work across credit scoring, fraud detection, and personalized investment recommendations — all aligned with RBI, SEBI, IRDAI, and CERT-IN compliance. Key Responsibilities Build and optimize ETL pipelines for financial, credit, and user data (CRIF, CIBIL, UPI, Insurance, DigiLocker). Develop predictive ML models (credit risk, fraud detection, recommendation engines). Conduct cohort & funnel analysis for Youth, SHG, and Salaried segments. Power Fin Score & Credit Booster with explainable AI models. Deliver real-time CXO dashboards for traction, risk, and compliance KPIs. Ensure data governance, anonymization, and DPDP/CERT-IN compliance. Required Skills Strong in Python (Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow). Proficient in SQL, NoSQL (Postgres, Firebase). Experience with Big Data tools (Spark, Airflow, Kafka). BI tools: Power BI, Tableau, Metabase. BFSI/FinTech exposure: credit, fraud analytics, insurance, or lending. Comfort with statistics, ML, and financial modeling. Why Join Us? Be part of India’s Financial Revolution 🚀. Shape products impacting 100M+ youth & first-time earners. Work with IIT, CA, CFA, CFO, AI/ML experts. Build protocol-governed, AI-driven finance at unicorn scale. 📩 Apply now → hr@fin100x.ai 👉 Let’s build Bharat’s AI Financial OS together.