Kepler AI

Kepler AI

Agentic Systems Engineer

New York City

Sponsorship not specifiedDetected 181 days ago
TypeScriptReactDistributed SystemsGitPostgreSQLCI/CDMachine LearningdbtData EngineeringNLPLLMsAgentic AIAI OrchestrationSystems EngineeringTest AutomationResearchLeadershipProblem SolvingMentoring

About the role

  • You'll work on the foundational systems that make autonomous
  • See your code enable agents to conduct research at top financial institutions

Responsibilities

  • 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.
  • 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.
  • you build the runtime our agents execute on, the layer the models, workflows, and product all depend on.
  • Own a production agent system end-to-end, from architecture to deployment
  • Build and deploy infrastructure that powers real financial research workflows
  • "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked.

Requirements

  • Backend: deep distributed-systems experience.
  • We believe strong engineering fundamentals and experience in other languages is what matters.
  • Architecture: Experience designing systems that scale and handle complex workflows

Nice to have

  • We're backed by investors who built the modern AI and data stacks, plus the builders of iconic commercial businesses.
  • This includes founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs and Square as well as PebbleBed, Company Ventures and Mantis VC firms.
  • Large datasets, ETL pipelines, knowledge graphs or semantic systems a plus
  • PostgreSQL, plus direct integrations with official data sources.
  • Data: Large datasets, ETL pipelines, knowledge graphs or semantic systems a plus
  • Data: PostgreSQL, plus direct integrations with official data sources.

Skills

  • Design to production.
  • Services, database optimization, deployment, monitoring.
  • Great teams compound.
  • Every hire raises the bar, every win gets named, every person gets the tools and runway to grow.
  • Kepler is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.

Benefits

  • 100% covered top-of-the-line medical, dental, and vision insurance for employees and their families.
  • HSA maxed by the company to the IRS limit.
  • Automatic coverage for life, AD&D, and disability insurance.
  • Unlimited PTO policy.
  • Learning budget - attend any conference, course, or program that makes you better at what we're building.

Company info

  • The founding team spent a combined 40+ years at Palantir building the type of large-scale data infrastructure that Kepler requires.
  • Our co-founder created Palantir's first AI platform and built the analytics engine behind $100M+ contracts.
  • Our founding engineers led Foundry's core systems - Ontology, Fusion, Workshop, FoundryML - and scaled data products at Meta to 1B+ users.
  • We've paired this deep technical foundation with a repeat founder profile.
  • Our CEO built and scaled a data company to $15M ARR before successfully selling it.
  • He then became Citadel's first Head of Business Engineering, experiencing first hand the problems we are now solving.
  • We have a team who've been on both sides: building systems like this at massive scale and selling it into the buyers who need it most.
  • This is what makes our platform trustworthy.
  • 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.

Equal opportunity

  • Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
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This listing is sourced directly from Kepler AI's careers page and normalized into a canonical job model.