AI Engineer
LLM Applications & Agentic Systems · Full-time · Mid-level (2–4 years) · Remote (India) or on-site
Large language models are moving from demos to dependable products, and we’re building the systems that make that happen. We’re looking for an AI Engineer to design, build, and ship production-grade agentic applications — the kind that reason over real financial and business data, chain skills and tools reliably, and hold up under real-world load.
About Us
FinArb is a data-driven analytics firm that began by solving complex business problems through large-scale data engineering, analysis, and predictive modeling, and now focuses on building automated, scalable solutions for clients. The team consists of dedicated analytics professionals with around two decades of combined experience in machine learning, artificial intelligence, and deep learning across multiple industry verticals — especially banking, trading, risk, and finance. FinArb has robust expertise in data ETL, algorithm development, and dashboard/visualization creation in areas such as marketing analytics,



customer analytics, NLP/text modeling, image processing, financial analytics, equity valuation, trading algorithms, and credit risk analytics.
About the Role
Twelve months in, you will have shipped agentic features that users rely on every day: multi-step LLM workflows built on LangChain and LangGraph, retrieval pipelines grounded in clean, well-understood data, and an evaluation harness that tells us — with numbers, not vibes — whether each release got better. You’ll work closely with product and data teams, own your systems end to end, and raise the bar for how we build with LLMs.
What You’ll Do
• Design and ship agentic applications end to end — planning, tool use, skill chaining, and multi-agent workflows — using LangChain, LangGraph, and related orchestration frameworks.
• Build and chain agent skills — develop reusable skills (tools, functions, and capabilities) and compose them into multi-

📌 Generative AI Engineer (Kolkata)
🏢 Finarb
📍 Kolkata