Artificial Intelligence Engineer
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Key skills for this role
About the Role
Ethos is building AI to match human expertise to paid opportunities. They are seeking an AI Engineer to build user-facing and internal products including search, matching, autonomous agents, and voice agents.
Key Skills for This Role
Responsibilities
- Build the research and sourcing platform used by investors, consultants, and enterprises to find and engage experts at scale search, matching, autonomous agents, report generation
- Develop and evolve the Ethos voice agent into a true companion that can help match experts to economic opportunities at scale
- Build the systems that automate how we source, screen and match experts across every opportunity on the platform
- Own full slices of product end to end from problem definition through deployment
Requirements
- AI native: builds all day long using Claude Code, Cursor, Codex, etc.
- Writes clean, production grade code and ships daily
- Deep hands on experience with LLMs prompt engineering, RAG, agents, evaluation, fine tuning
- Full stack development: backend services, APIs, data pipelines, and enough frontend to ship a complete feature
- Ability to find the problem, scope the solution, and deliver it independently
- Reinforcement Learning and RL environments is a bonus
Full Job Posting
About Ethos
- We’re building AI to make humans irreplaceable. Ethos is the platform that matches human expertise to paid opportunities, from advisory roles to consulting opportunities and full time positions, backed by a16z, General Catalyst and other top investors.
- Small team. Flat hierarchy. High ownership. We build first, experiment rapidly, and automate every process after mastering it once.
The Role
- You will build the products that define how knowledge flows between people and organizations.
- User facing: The research and sourcing platform used by investors, consultants, and enterprises to find and engage experts at scale search, matching, autonomous agents, report generation. Developing and evolving the Ethos voice agent into a true companion that can help match experts to economic op
- Internal facing: The systems that automate how we source, screen and match experts across every opportunity on the platform.
- You will own full slices of product end to end from problem definition through deployment.
Key requirements
- You are truly AI native. You build all day long switching between Claude Code, Cursor, Codex, and whatever ships next week. You have an open source repo. You build products for yourself and for your friends on weekends. People describe you as restless and entrepreneurial.
- You write clean, production grade code and ship daily, not quarterly.
- You have deep hands on experience with LLMs prompt engineering, RAG, agents, evaluation, fine tuning. Reinforcement Learning and RL environments is a bonus!
- You build full stack: backend services, APIs, data pipelines, and enough frontend to ship a complete feature.
- No one hands you a spec. You find the problem, scope the solution, and deliver it.
- You have taste you care about the details that separate a good product from a forgettable one.
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