Senior AI Engineer

Posted 18 Days Ago
Redwood City, CA, USA
In-Office
210K-280K Annually
Senior level
Professional Services • Consulting
The Role
Senior individual contributor leading applied AI engineering from algorithm scoping through production deployment. Responsibilities include building relational models for AI agents, developing persistent agent memory and grounding layers, shaping platform architecture, owning complex technical projects, and coaching AI engineers. The role requires production experience with machine learning and LLM systems, agent-based AI expertise, traditional ML knowledge, and a master’s degree in computer science. This is an on-site position in Redwood City, California.
Summary Generated by Built In

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

Skills Required

  • At least 4 years of experience as an applied machine learning or AI engineer
  • Experience releasing machine learning and LLM-based systems into production
  • Hands-on experience creating agent-based AI systems, including agent memory
  • Strong grounding in traditional machine learning, with models running in production
  • Master's degree in Computer Science
  • Ability to work on-site five days per week
  • 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
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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