Agentic Systems Engineer
Core
Building the foundational infrastructure layer that makes autonomous AI agents reliable, traceable, and verifiable for enterprise-critical decisions in high-stakes industries.
Role type
Senior individual contributor agentic systems engineer
Builds
Distributed execution frameworks, evaluation systems, context management, ontology and provenance systems for AI research platforms
Domain
AI infrastructure, distributed systems, financial research
Deliverable
production ML models | infrastructure
Required skills
distributed systems, backend engineering, LLM/agent frameworks, system architecture, production software development, CI/CD, observability
Preferred skills
knowledge graphs, semantic systems, ETL pipelines, Rust
Technologies
Rust, TypeScript, React, PostgreSQL
Responsibilities
Build distributed agent execution infrastructure with reliability and retry logic; Develop evaluation frameworks to measure agent quality and catch regressions; Optimize agent performance via context compression and model routing; Design ontology and provenance systems to trace outputs to authoritative sources; Integrate language models into production workflows with error handling; Own end-to-end system design, deployment, and reliability
Seniority
Senior, hands-on IC