Kepler AI
Agentic Systems Engineer
$250K–$350K
New York City · On-site · Full-time · Posted Jan 21, 2026
- Experience
- 7+ years building production software; no upper limit stated.
About the job
Build and operate the agent infrastructure and trust systems behind Kepler’s AI-powered financial research platform.
What you'll do
- Build distributed agent execution, evaluation, and performance systems.
- Develop ontology and provenance systems that trace outputs to authoritative sources.
- Own AI-enabled production systems end-to-end, including deployment, monitoring, reliability, and optimization.
What they ask for
- 7+ years building production software.
- Deep distributed-systems experience.
- Experience designing scalable systems for complex workflows.
- Experience building with LLMs, agent frameworks, or ML infrastructure.
Nice to have
- Experience with large datasets, ETL pipelines, knowledge graphs, or semantic systems.
- Familiarity with Git workflows, CI/CD, automated testing, and observability.
Pay
$250K – $350K USD base salary
Tools
Rust, TypeScript, React, PostgreSQL, AWS, Claude, GPT
AI focus
Build agentic infrastructure for reliable AI research, including agent execution and evaluation, context and prompt optimization, model routing, and provenance and verification systems.
Model-written summary · the original posting is authoritative