What are the responsibilities and job description for the Machine Learning Engineer position at Zearch?
Join a fast-growing, founder-led team that's scaling from $1M to $10M ARR. Our client are building the future of developer experience by partnering with the most exciting AI and infrastructure startups in the world — companies like Cohere, ElevenLabs, Vapi, and Pinecone.
This is a unique opportunity for ambitious engineers who want to build, move fast, and play a key role in defining how developers interact with AI.
Our client work hybrid and in office and we’re looking for teammates who thrive in collaborative, high-energy environments.
What You’ll Work On
Shape Emerging AI Standards
Our client created /llms.txt, a new standard for how LLMs and agents interact with dev docs. The response has been incredible — early adopters are using it to auto-generate Cursor rules, reduce token usage, and more. You'll help us evolve these standards in collaboration with our customers.
Build From Zero-to-One
You will embed with teams using the Model Context Protocol (MCP) to create entirely new developer and agent experiences. You'll work closely with real customers to take ideas from scratch to production.
Monitor, Measure, and Improve
As our client expand our AI features, you'll implement analytics, define success metrics, debug issues, and tie feature usage to billing. You’ll ensure we’re delivering real value — and that our pricing scales clearly with adoption.
Help Us Grow the Team
You’ll work directly with our CEO and CTO to hire top-tier engineering talent as we scale the company.
What We’re Looking For
- 2 years of professional experience in software engineering
- Experience building, deploying, and monitoring an AI-powered product or feature
- You’ve worked at a high-growth SaaS company
- Bonus: Familiarity with OpenAPI, Conjure (Palantir), or Smithy (AWS)
Why Join
- Salary: $170K–$210K
- Equity: Ownership in a fast-growing startup
- Local Bonus: if live close to office
- Meals: Daily breakfast, lunch, and dinner provided
- Benefits: Health, dental, and vision insurance
- Time Off: Unlimited vacation policy
- Experience: A front-row seat at an early-stage startup scaling fast
Tech Stack
- LLMs: Anthropic, Amazon Bedrock, AI SDK
- Search: Algolia, turbopuffer
- Backend: Node.js (Express), Python (FastAPI), AWS
- Frontend: Next.js Vercel
- API Layer: Fern
- Architecture: Microservices
Salary : $170,000 - $210,000
