The role, as published
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Act as a senior individual contributor guiding an applied AI engineering group on difficult technical challenges, from early scoping through to live deployment. Collaborate closely with leadership and product on technical direction while coaching other engineers.
What you'll do
- Create algorithms that turn complex live environments into structured relational models used by an AI agent.
- Take ownership of the agent's persistent memory so it keeps learning and improving over time.
- Develop and refine the context and grounding layers that make the agent's conclusions more reliable.
- Partner with leadership and product management to influence technical direction and the next platform design.
- Lead demanding projects as the senior technical owner, covering scoping, algorithm design and release to production.
- Coach other AI engineers through design reviews, shared engineering standards and hands-on coding.
What we're looking for
- At least 4 years working as an applied machine learning or AI engineer.
- A history of releasing ML and LLM-based systems into production use.
- Hands-on experience creating agent-based AI systems, including memory for agents.
- Strong grounding in traditional machine learning, with models running in production.
- Master's degree in Computer Science.
- Comfort combining research with practical engineering in an intense startup setting.
- Ability to work on-site five days a week.
Bonus points
- Background at leading AI labs, technology companies or startups.
- Familiarity with monitoring, operations automation or reliability tooling.
- Experience with graph-based models of software systems.
Location and work model
- Redwood City, California, United States
- On-site, 5 days per week
- Full-time
Compensation, as the posting describes it
- Equity