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.
As a Forward Deployed Engineer at Kepler, you'll be the technical architect of our most strategic client relationships. You'll work directly on-site with our lighthouse customers, sophisticated financial firms and research organizations. to deploy, customize, and optimize Kepler's AI-native research platform for their specific workflows and requirements.
This is the engineering role that lives our core principle: "Forward-Deployed with Product DNA." You'll embed directly with clients to own their outcomes while simultaneously building the platform that serves the entire market. Your code decisions can impact million-dollar research outcomes.
Within your first 90 days, you will:
Rapidly build and develop vertical apps on top of our core platform.
Engage with Portfolio Managers at institutions with 10B+ AUM to scope and build workflows.
Develop deep expertise in agentic tooling, products, and technologies.
Own a customer engagement end-to-end.
This is the right role if you want to build the future of financial research while working directly with the world's most sophisticated analysts with guidance from engineers who've scaled enterprise platforms from zero to global adoption.
Engineer solutions at client sites: Deploy and customize AI research workflows directly where critical financial decisions happen, rapidly prototyping solutions that push our platform's boundaries.
Drive product innovation from the field: Identify technical gaps while embedded with clients, then architect and implement new capabilities that become core product features.
Build enterprise integrations: Design complex integrations with client data infrastructure, research tools (Bloomberg, CapIQ), and proprietary trading systems.
Optimize platform performance: Scale our AI platform for client-specific use cases, solving complex performance challenges in real-world research environments.
Bridge field and product: Rotate between forward deployed work and core platform development, bringing field insights directly into our technical architecture.
Own critical deployments: Ensure our platform performs reliably for clients' most critical research operations, debugging issues across the full stack.
Must-haves
3 - 5 years of software engineering experience with a track record of deploying complex systems in enterprise environments.
Client-facing technical experience: Previous role as Forward Deployed Engineer, Solutions Engineer, or similar position working directly with enterprise customers.
Full-stack development skills: Strong capabilities in Python/TypeScript with experience in distributed systems, data pipelines, and API development.
Enterprise integration / data integration expertise: Experience with SSO/SCIM, RBAC, database integrations, and enterprise security requirements.
Communication and presentation skills: Comfortable presenting to C-level executives and technical teams alike.
Travel flexibility: Willingness to travel regularly (30-50%) for on-site client engagements from our NYC HQ.
Nice-to-haves
Financial services exposure: Previous experience working with financial firms or familiarity with research workflows.
Data platform experience: Background with large-scale data processing, ETL pipelines, or analytics platforms.
Rust development experience.
Startup experience where you owned features end-to-end.
Don't check every box? Apply anyway. We prioritize speed of learning, problem-solving skills, client empathy, and drive to transform how financial research works.
You'll be directly mentored by engineers who built Palantir's core systems. Expect:
Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems
Deep architectural reviews and guidance on agent system design
Clear growth path toward technical leadership and system ownership
Learn by buildingâproduction agentic systems that power real financial research
At Kepler, mentorship accelerates strong systems engineers into exceptional technical leaders.
Backend: Python, Node.js, Rust, PostgreSQL, Redis
AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases
Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow
Monitoring: Datadog,
Tools: Git, GitHub Actions, Pulumi
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
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
Comprehensive medical, dental, vision, 401k, insurance for employees and dependents
Automatic coverage for basic life, AD&D, and disability
kepler-ai