Software Engineer
Kepler: AI you can trust and verify.
Every AI tool has the same flaw: the model touches the data. It guesses numbers, fabricates sources, and gives you a different answer every time you ask. For the people making million-dollar decisions, that's not a feature gap. It's a dealbreaker.
We built the architecture that makes hallucination structurally impossible. AI interprets your intent. Deterministic code retrieves every figure from source documents. The model never produces a number, so it can't get one wrong. Every output traces to a filing, a page, a line item. Every calculation shows its formula. Every answer is defensible.
Live in production. 950K+ SEC filings. 14K+ companies. 40M+ documents. 27 global markets. Trusted by firms that don't get to be wrong.
The architecture is domain-independent. Finance is first because the pain is sharpest. Healthcare, legal, insurance are next. Same system, new data sources. We're not building a finance product. We're building the verification layer for the entire AI stack.
Founded by Vinoo Ganesh (7 yrs Palantir, Head of Business Engineering at Citadel) and Dr. John McRaven (11 yrs Palantir, created the analytics engine behind $100M+ contracts with BP and Airbus, Ph.D. Physics). Backed by the founders of OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.
The Role
You'll build core systems that power Kepler's AI research platform. You'll work across the stack: backend services that orchestrate AI workflows, data pipelines that process billions of data points, and the infrastructure that financial professionals rely on for million-dollar 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.
Within your first 90 days, you will:
Ship your first production feature with senior mentorship
Build and deploy a service that handles real financial research workflows
See your code power research at top financial institutions
Take ownership of a core system from architecture to production
What You'll Do
Build backend systems: Scalable services that orchestrate AI workflows, manage data pipelines, and integrate with enterprise financial tools.
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.
Integrate AI into production: Language models and AI capabilities powering intelligent research workflows that augment human decision-making.
Own features end-to-end: Design to production. Services, database optimization, deployment, monitoring.
Optimize performance: Database queries, API response times, pipeline throughput. Build systems that scale.
Ship with production excellence: Comprehensive testing, monitoring, deployment pipelines. You own reliability for what you build.
What We're Looking For
4+ years of software engineering experience shipping production applications at scale
Backend: Python or Node.js, API design, PostgreSQL, AWS
Architecture: Experience designing scalable systems and data models
Data: Large datasets, ETL pipelines, analytics infrastructure
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
Financial services experience preferred but not required
Don't check every box? Apply anyway. We prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure.
Mentorship & Growth
Direct mentorship from engineers who built Palantir's core systems:
Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems
Deep architectural reviews and guidance on system design
Clear growth path toward technical leadership and system ownership
Learn by building production systems that power real financial research
Our Technical Stack
Frontend: React, Typescript, Vite, Tailwind, Radix, TanStack, Zustand
Backend: Rust, Node.js, Python, PostgreSQL, Redis
AI/ML: OpenAI, Anthropic, MCP SDK,
Infrastructure: AWS (S3, RDS), Docker, Temporal, Kubernetes, Dataflow
Tools: Git, GitHub, Pulumi, Auth0, SharePoint
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
Our Operating Principles
Forward-Deployed with Product DNA: We own customer outcomes while building a product company. That means embedding, iterating, and deploying where our customers are. We don't win if they don't win.
Extreme Ownership: Big vision, shared ownership. If you notice a problem, you own it. Authority comes from initiative, not job titles. Once you step up, you're accountable for the outcome.
Production-First Engineering: We design for critical workloads from day one. Durable execution, blue/green deploys, automated rollbacks, continuous delivery with end-to-end observability. Every change lands safely and stays resilient under real-world load.
Trust as the Default: People do their best work when confidence is mutual. We show our work, keep our promises, and flag risks before they bite. Trust isn't an aspiration. It's the baseline.
Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks. A sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk. It's part of the job.
Kepler is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.