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AI Product Builder

Recur Club (Founderlink Technologies Private Limited) · recurclub.com
Gurugram3–5 yrs
Apply on Recur Club (Founderlink Technologies Private Limited)’s site

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The job in short

Build and ship AI features for AI-driven business lending underwriting, prototyping and evaluating in the codebase.

RAGUnderwritingPythonTypeScriptLLMPrompt engineering

Details

Found
28 d ago · posted 2026-06-10
Location as listed
Gurugram, Haryana, India
Role
Machine Learning / AI Engineer
Source
The company’s own careers site

Full description

Build at the frontier. Be at the cutting edge of AI applied to finance - and the adjacent problems no one has cracked. You won't polish someone else's product. You'll define what AI-native underwriting becomes, and change how business lending works in India and the world. About Recur Club We're a category-defining brand for business debt. Recur Club is India's first AI-native debt marketplace, connecting founders directly with lenders through a technology-first, agent-driven ecosystem that strips the friction out of debt. Our platform AICA uses AI to automate manual operations, power sophisticated underwriting, and run thousands of complex credit policies — matching businesses to the right capital partners in a fraction of the time. This role sits at the core of how AICA underwrites. What You Own • Ship 0-to-1, eval-driven AI features for AICA's underwriting. You collapse the PM → eng → PM loop: decide what to build, build it, prove it works, ship it. No handoffs, no waiting on a spec. • The full loop. Discovery to prototype to eval to production. You decide, build, and prove. • Complex prototypes in the codebase. Extraction, classification, agents, RAG, decisioning aids — working builds, not docs. • Shipping with the pod. Build and ship into the AICA codebase, then spec the hardening so engineers can productionize — not throw prototypes over the wall. • The AI bet. Talk to analysts and users, then pick the highest-leverage thing to build. • Reusable leverage. Turn what works into tools, prompts, and playbooks. How You're Measured • Document-to-insight under 30 minutes — the headline number. • Velocity of validated AI features — prototype to accuracy-proven. • Production adoption of what you ship. • Eval-proven accuracy lift on the tasks you own. What You Won't Be Doing • Managing people or running status meetings. • Waiting on a handoff, or shipping a prototype and walking away. • Backlog grooming and roadmap theatre. • Shipping on vibes. Must Have • 3–5 years shipping software, with AI features live in production — not demos. • Shipping engineer in the codebase — Python or TypeScript, LLM orchestration, agents, RAG. Uses AI to do the work (Cursor, Claude Code), not just to research. AI-for-content-only won't cut it. • Fast 0-to-1 builder — ambiguous problem to working build in days. High agency, no spec needed. • Product judgment, AI-first — frames the right problem, not just a pretty solution; knows what to build and why. • Eval-driven — measures accuracy. Non-negotiable. • Clear, concise communicator — collaborates cleanly across engineering, design, and analytics, and writes specs the pod can run with. Nice to Have • Fintech, lending, or B2B SaaS. • A feel for how data unlocks credit products. • B.Tech and/or MBA from a top-tier institution. • Ex-founder or forward-deployed engineer background. Compensation & Culture • Salary and equity that make you an owner. • Zero bureaucracy. High trust. Outcomes over hours. • Not a 9-to-5. If you want balance, look elsewhere. • If you want to build something that matters — and learn faster than anywhere else — you'll thrive.

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