Description
About the Role
As a Platform Engineer at Metis, you’ll join a small, product-driven engineering team building modern infrastructure that powers critical workflows for our own training platform. You’ll own projects end-to-end, designing, building, and shipping production systems that directly impact customers. You’ll write production-grade code, reason about systems holistically, and make decisions that tie directly to business outcomes. You will be moving fast while upholding a high bar for code quality, scalability, and simplicity.
What You’ll Do
- Help scale and work on a core part of our Mantis Platform
- Helping to optimize our training stack, work on expanding platform scalability and functionality
- Write code and leverage AI tools effectively to get the highest quality of work done in the fastest time
Requirements
- Strong coding fundamentals in at least one modern language (Python, Go, Rust, etc.).
- Ability to break down ambiguity and ship simple solutions to complex problems.
- Familiarity with system-design, general coding practices in terminal, and high level thinking
Compensation & Benefits
- Base: $150,000–$850,000
- Significant Equity
- Full medical, dental, and vision
- Wellness & L&D stipend
- Equinox membership
- Breakfast, lunch, and dinner provided (Unlimited Doordash)
- $25,000 housing stipend
About Metis
Metis helps enterprises and labs build the most reliable AI agents by leveraging post-training. Our platform enables the creation, improvement, and deployment of the most capable frontier agents designed for rigorous, real-world workflows.
Momentum
- 0 → six-figure monthly revenue in the last six weeks
- Working with several Fortune 500 enterprises & frontier AI labs
- Growing 150%+ MoM
Backed by
Y Combinator, CRV, and executives from OpenAI, Google, Mercor, NVIDIA, and others.
Company
Metis is an applied-research and product lab that offers a post-training and continual-learning layer for enterprise agents. Its first product, Insight, uses an organization’s first-party data, tools, and environments to build a continuously learning agent stack. Insight generates training signals, runs offline and online RL, and evaluates agents to ensure correct tool use, contextual retention, and execution of long, multi-step workflows. The platform emphasizes observability, auditability, and safety while enabling scalable automation and reliability for enterprise customers.
Related postings
Five9
Platform EngineerUnited StatesDefense Unicorns
Platform EngineerUnited StatesOnePay
Platform EngineerUnited StatesClarity Innovations
Platform EngineerUnited States