Full Stack Engineer

Kepler (formerly Keru.ai) • New York, NY

20d

About The Position

Kepler is building the ground truth platform for AI.
AI is great at understanding what you're asking. It's terrible at giving you answers you can trust. Generic tools hallucinate data, confabulate reports, and provide insights without showing their work. In finance, where being wrong costs millions, that's not acceptable.
We solved this by making accuracy the only possible outcome. Every answer traces to its source. Every calculation is reproducible. Every insight can be defended with complete confidence. The result: faster decisions, deeper analysis, and a competitive edge where synthesizing information more thoroughly than competitors translates directly to performance.
We're starting in finance and building the foundational data layer for anywhere decisions depend on trustworthy data.
Founded by two Palantir veterans with 20 years of combined experience building core parts of Gotham and Foundry. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel.
We're backed by founders of OpenAI, Facebook AI, MotherDuck, dbt, Outerbounds, and others.
The Role
You'll build the core platform that powers Kepler's AI research experience. You own the full stack: React interfaces that financial professionals rely on for critical research, backend systems that process billions of data points, and AI workflows that power million-dollar investment decisions.
This role is for engineers who want to build foundational technology at the intersection of AI and finance, where your code directly impacts how clients make critical business decisions.

Requirements

• 7+ years of full-stack development experience shipping production applications at scale
• Frontend: Advanced React, TypeScript, Tailwind CSS, state management, testing frameworks
• Backend: Node.js or Python, API design, PostgreSQL/MongoDB, AWS/GCP
• Architecture: Experience designing complete systems from database schema to component hierarchies
• Enterprise: Auth systems, RBAC, security requirements
• Data: Large datasets, visualization, analytics pipelines
• Practices: Git workflows, CI/CD, automated testing
• Strong communicator who can discuss technical trade-offs clearly
• Product mindset: user-focused, iterates on feedback, solves real problems
• Thrives in fast-paced environments across the full stack

Nice To Haves

• Financial services experience preferred but not required

Responsibilities

• Build the frontend: Sophisticated React/TypeScript applications for complex data visualization, AI-powered insights, and seamless workflows. Modern design systems, Tailwind CSS.
• Build the backend: Scalable services that orchestrate AI workflows, manage data pipelines, and integrate with enterprise financial tools.
• Own features end-to-end: Design to production. React components, backend services, database optimization, deployment, monitoring.
• Integrate AI into production: Language models and AI capabilities powering intelligent research workflows that augment human decision-making.
• Build enterprise data integrations: Ingest and normalize data from scattered sources: public filings, earnings transcripts, market data feeds, research reports. Build robust pipelines that transform fragmented data into a unified platform.
• Optimize performance: React rendering, bundle size, database queries, API response times. The full stack.
• Ship with production excellence: Comprehensive testing, monitoring, deployment pipelines. You own reliability for what you build.

Benefits

• Comprehensive medical, dental, vision, 401k, insurance for employees and dependents
• Automatic coverage for basic life, AD&D, and disability insurance
• Daily lunch in office
• Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need
• Unlimited PTO policy
• "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked
• Learning budget - attend any conference, course, or program that makes you better at what we're building

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed