Not specified; competitive salary mentioned; 401(k...
Remote
2-4 years applied ml/ai engineering experience
Strong python engineering with clean abstractions
Deep understanding of agent loops and tool integration
The role involves designing production-grade agentic systems that audit medical claims end-to-end to produce defensible findings
Job Summary
The role involves designing production-grade agentic systems that audit medical claims end-to-end to produce defensible findings.
Engineers are expected to decide the architecture from scratch, choosing between single-agent and multi-agent topologies based on data-driven evaluation.
The company offers competitive benefits including unlimited PTO, top medical/dental/vision offerings, and tuition reimbursement.
Matching Summary
The role involves designing production-grade agentic systems that audit medical claims end-to-end to produce defensible findings.
Salary
Not specified; Competitive salary mentioned; 401(k) with company match included
Skills & Requirements
Must-have
2-4 years applied ML/AI engineering experience
Strong Python engineering with clean abstractions
Deep understanding of agent loops and tool integration
Hands-on experience with major agent SDKs like LangGraph
Fluency with Claude Code or Codex as a power user
Nice-to-have
Experience designing structured outputs with Pydantic
Familiarity with reasoning models like o-series
Prior work on long-context citation-grounded systems
Document understanding skills including OCR and layout-aware models
Production experience with LLM caching and cost control
Key Requirements
Bachelor's in CS/Math/Engineering or Master's with no industry experience
Ownership of at least one production-quality system end-to-end