# AI Engineer | Agentic Systems at Machinify

- Company: Machinify
- What the company does: Backed by Battery and GV.
- Company website: http://www.machinify.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Remote - US
- Work setup: Remote
- Pay: $130K to $200K base salary per year (USD)
- Posted: 2026-02-24
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/machinifyinc/jobs/4146862009
- Page: https://www.1752.vc/careers/jobs/machinify-ai-engineer-agentic-systems/

## About the role

We're building production-grade agentic systems that audit medical claims end-to-end — reading raw medical records, reasoning over coding and clinical guidelines, and producing defensible findings that hold up to clinical and regulatory review. Reaching human-expert accuracy on noisy, long-context documents is one of the hardest unsolved problems in applied AI, and the field is moving weekly.

## What they're looking for

- - Strong Python engineering. Clean abstractions, type discipline, async, tested code
- - Deep, hands-on understanding of agent loops — how a model decides to call a tool, how a tool result re-enters context, how loops terminate, where they fail
- - Hands-on experience with at least one major agent SDK — OpenAI Agents SDK, Anthropic SDK / claude-agent-sdk, LangGraph, or equivalent — and an opinion on the tradeoffs
- - Working knowledge of how modern coding agents are built and how they engineer context — what goes in the system prompt, how files are read and edited, how long-running tasks are planned and tracked, where they break
- - Fluency with Claude Code / Codex as a power user. You should be able to brainstorm, plan, and execute non-trivial engineering tasks with these tools — including reading their source when needed to understand or extend behavior
- - Solid command of VS Code and git — branches, rebases, worktrees, conflict resolution, PR workflows. Not optional

Tags: Data Science