/roles — ROLE_81
ML Engineer (Systems)
The Workflow Intelligence Layer
The role
- COMP
- $150K - $230K
- EQUITY
- Up to 1% equity
- LOCATION
- San Francisco · South Bay Area
- WORKPLACE
- On-site
- EXPERIENCE
- 5+ years
- VISA
- None, Visa transfers
- STACK
- Langchain, Docker, Kubernetes, K8s, Python, Tableau, Grafana, LangGraph/AutoGen-class agent stacks, vLLM, SGLang, Ray, full-stack web
- INDUSTRY
- Software Development, AI, Enterprise
The company
Enterprise workflow-intelligence layer for observing, optimizing, and governing multi-agent AI applications.
- STAGE
- Series A-stage
- FUNDING
- $5M raised
- TEAM
- founding team of <10
- FOUNDED
- 2025
JD — the work
About the role
Senior full-stack ML-systems role working directly with the Chief Architect and CEO: turn multi-agent systems research into a product developers and enterprises enjoy using — from serving infrastructure to the front-end that makes it legible.
What you'll do
- Productize ML-systems research into developer-grade software
- Build on multi-agent stacks (LangGraph, AutoGen, CrewAI, or custom)
- Work with model-serving platforms (vLLM, SGLang, Ray)
- Build strong front-end and visualization surfaces
- Turn research ideas into docs, examples, and onboarding flows
What they're looking for
- 5+ years of professional software engineering
- Multi-agent systems built with modern tool stacks
- Full-stack strength, especially front-end/visualization
- Clear written communication
Nice to have
- Multi-agent systems in live production
- Open-source contributions
- SA/FDE background