- Raydar
- Redwood City, CA
- Full-Time
- 15 days ago
- $210,000–$280,000 / year
Senior AI Engineer.
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Senior AI Engineer: our view in 3 lines...
- The Role:This role suits an experienced AI engineer who will guide applied AI engineering work and contribute to technical direction for production AI systems.
- The Person:The person will develop algorithms and agent memory and grounding layers, lead AI projects from scoping through production release, influence platform direction, and coach other AI engineers.
- Requirements:The ideal candidate has at least four years in applied machine learning or AI engineering, experience releasing ML and LLM systems to production, agent-based AI and agent memory experience, and a master's degree in computer science.
About the role
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.
Requirements
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.
Benefits
Compensation and benefits
- Base salary: USD 210,000 to 280,000 per year
- Equity
Location and work model
- Redwood City, California, United States
- On-site, 5 days per week
- Full-time