Agentic Systems Engineer

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

• 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.

• 7+ years of software engineering experience shipping production systems at scale

• Backend: Python or Node.js, distributed systems, Postgre
  
  SQL, 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.

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

• Frontend
  :
  React, Typescript, Vite, Tailwind, Radix, Tan Stack, Zustand

• Backend
  :
  Rust, Node.js, Python, Postgre
  
  SQL, Redis

• AI/ML
  :
  OpenAI, Anthropic, MCP SDK

• Infrastructure
  : AWS (S3, RDS), Docker, Temporal, Kubernetes, Dataflow

• Tools
  :
  Git, Git Hub, Pulumi, Auth0, Share Point

• 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 Mac Book 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

• 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…