Why Obin
Work on production AI systems for financial institutions where reliability, judgement, and speed matter as much as intelligence.
01
Work at the frontier, in production
Not demos. Not pilots. Our agents run inside top-three institutions managing over $1T in assets — and we move from pilot to production in weeks.
02
Solve problems that don’t have a prompt
Finance’s long tail of edge cases can’t be solved with better instructions. Every hard problem we crack becomes infrastructure everyone benefits from.
03
Pair with domain experts
We collapse the silo between finance and engineering by design. The person who knows why a regulation exists works side-by-side with the person who builds the constraint.
04
Compound impact
Every edge case you solve is immediately available across our entire platform. You are not just improving one client — you are advancing the whole ecosystem.
05
Backed by category builders
Advised by Dr. Fei-Fei Li and Lukasz Kaiser. Founded by alumni of JPMorgan, Goldman Sachs, Google, Silver Lake, and Amazon.
06
Expand your ceiling, not just your role
We hire divergent thinkers — people who fall in love with the problem, not a single solution. Your scope grows as the platform grows.
— Apoorv Saxena & Lak Lakshmanan, Co-founders
01
The 80% wall is not a milestone — it’s a dead end
Most AI succeeds in demos and fails in production. We build for the last mile — near-perfect task completion across the entire chain — because anything less erodes trust and kills adoption.
02
Edge cases are the domain, not the exception
The distressed credit clause, the partial PIK payment, the cross-border transaction with conflicting jurisdictions — these are exactly why financial institutions exist.
03
Auditability is not a compliance checkbox
Every output must be traceable back to its source. Accountability is architecture, not policy.
04
Fifteen small ideas beat one big one
Getting complex workflows right requires logic splits, data engineering fixes, and models working together — not a better prompt.
05
Shared infrastructure, proprietary edge
When we solve an edge case for one client, the architectural improvement is available to all. You get the ecosystem’s learning; you keep your alpha.
06
We are building the map as we walk the terrain
Agentic engineering is a new discipline. We embrace that uncertainty — and compound our learning faster than any single institution can alone.
Open positions
We’re hiring across engineering, product, and forward-deployed roles in New York.
Data Scientist
Data Scientist
Data Scientist
Data Scientist
Apply Now
Agentic AI Engineer
Agentic AI Engineer
Agentic AI Engineer
Agentic AI Engineer
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Product Manager, AI
Product Manager, AI
Product Manager, AI
Product Manager, AI
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Full-Stack Engineer
Full-Stack Engineer
Full-Stack Engineer
Full-Stack Engineer
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Technical Project Manager
Technical Project Manager
Technical Project Manager
Technical Project Manager
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Principal Solution Architect (Multi-Cloud, Data & Agentic AI)
Principal Solution Architect (Multi-Cloud, Data & Agentic AI)
Principal Solution Architect (Multi-Cloud, Data & Agentic AI)
Principal Solution Architect (Multi-Cloud, Data & Agentic AI)
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Senior Client Partner
Senior Client Partner
Senior Client Partner
Senior Client Partner
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Account Director
Account Director
Account Director
Account Director
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Technical Recruiter, AI
Technical Recruiter, AI
Technical Recruiter, AI
Technical Recruiter, AI
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Senior AI Engineer
Senior AI Engineer
Senior AI Engineer
Senior AI Engineer
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Staff AI Engineer
Staff AI Engineer
Staff AI Engineer
Staff AI Engineer
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Principal AI Engineer
Principal AI Engineer
Principal AI Engineer
Principal AI Engineer
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Senior Data Scientist
Senior Data Scientist
Senior Data Scientist
Senior Data Scientist
Apply Now







