Agentic Systems Engineer
We're building the ground truth platform for AI.
Generic tools hallucinate data, confabulate reports, and don't show their work. We made accuracy the only possible outcome: every answer traces to its source, every calculation is reproducible, every insight is defensible. We're starting in finance and building the foundational data layer for anywhere decisions depend on trustworthy data.
Kepler was founded by two Palantir veterans (20 years combined) who built core parts of Gotham and Foundry, created Palantir Quiver (the analytics engine behind $100M+ deals with BP and Airbus), led major DoD projects, and served as Head of Business Engineering at Citadel.
Kepler is backed by founders of OpenAI, Facebook AI, MotherDuck, dbt, Outerbounds, and others.
The Role
You'll build the agentic infrastructure that powers Kepler's AI research platform. You'll work on the foundational systems that make autonomous AI agents reliable at scale: distributed execution frameworks that run thousands of agents in parallel, evaluation systems that ensure agent quality, context management that maximizes agent performance, and the ontology and provenance systems that let us trace every number back to its source.
This role is for engineers who want to work at the frontier of AI systems, building the infrastructure that makes agents trustworthy for enterprise-critical decisions.
Within your first 90 days, you will:
Ship your first production agent system with senior mentorship
Build and deploy infrastructure that powers real financial research workflows
See your code enable agents to conduct research at top financial institutions
Take ownership of a core agentic system from architecture to production
What You'll Do
Build agent execution infrastructure: Distributed systems that orchestrate and run massive numbers of agents in parallel with reliability, retry logic, and graceful degradation.
Build evaluation systems: Frameworks that measure agent quality, catch regressions, and ensure agents perform reliably across diverse research tasks.
Optimize agent performance: Context compression, prompt optimization, model routing, and latency reduction. Make agents faster and smarter.
Build ontology and provenance systems: The semantic layer that maps concepts to precise definitions and traces every output back to authoritative sources. This is what makes our platform trustworthy.
Integrate AI into production: Language models powering intelligent research workflows with robust error handling, fallback mechanisms, and cost optimization.
Own systems end-to-end: Design to production. Services, database optimization, deployment, monitoring.
Ship with production excellence: Comprehensive testing, monitoring, deployment pipelines. You own reliability for what you build.
What We're Looking For
7+ years of software engineering experience shipping production systems at scale
Backend: Python or Node.js, distributed systems, PostgreSQL, Redis, AWS
Architecture: Experience designing systems that scale and handle complex workflows
AI/ML systems: Experience building with LLMs, agent frameworks, or ML infrastructure
Data: Large datasets, ETL pipelines, knowledge graphs or semantic systems a plus
Practices: Git workflows, CI/CD, automated testing, observability
Strong communicator who can discuss technical trade-offs clearly
Curious about the frontier of AI agents and eager to push what's possible
Thrives in fast-paced environments with high ownership
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 agent system design
Clear growth path toward technical leadership and system ownership
Learn by building production agentic 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.