AI Product Builder
Recur Club (Founderlink Technologies Private Limited) · recurclub.com
Gurugram3–5 yrs
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
- 22 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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