Senior AI Engineer

Posted 14 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
180K-275K Annually
Senior level
Professional Services • Consulting
The Role
Design, build, deploy, and manage production conversational AI agents powered by large language models. Own agent architecture, user experience, evaluation, monitoring, safeguards, retrieval-augmented generation pipelines, and agentic workflows. Contribute to client-side and server-side development while helping establish AI-assisted engineering practices at an early-stage fintech company.
Summary Generated by Built In

About the company

Our client is a financial technology company.

The role

Raydar is recruiting for this role on behalf of our client. Design, build and ship production AI agents powered by large language models, owning them from concept through deployment. Contribute across the full stack and help set engineering practices as an early member of a small on-site team.

What you'll do

- Build and launch conversational AI agents that guide users through multi-step tasks in real time.

- Own one or more agents from start to finish, covering user experience, architecture, evaluation, monitoring and safeguards.

- Design retrieval-augmented generation pipelines and agentic workflows that automate complex, multi-step processes.

- Contribute to both client-side and server-side code so new capabilities reach different user groups.

- Help shape AI-assisted development practices and engineering culture as an early team member.


Requirements

What we're looking for

- 3 to 5+ years of software engineering experience.

- A track record of taking LLM-driven agents with tool access into live production use.

- Hands-on delivery of agent-based products, including the interfaces people use to interact with them.

- Experience creating evaluation harnesses or pipelines for retrieval-augmented generation.

- Comfort with the pace and ambiguity of an early-stage, rapidly scaling company.

- Daily use of AI coding tools.

- Ability to work on-site five days per week.

Bonus points

- Familiarity with payments concepts such as ledgers or money movement.

- Time spent on a strong big tech team, or a move from big tech into a startup.

- A computer science degree from a leading program.


Benefits

Compensation and benefits

- Base salary: USD 180,000 to 275,000 per year

- Equity

- Health, dental and vision coverage

- Retirement plan

- Commuter benefits

- Paid time off

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in office

- Full-time

Skills Required

  • 3 to 5+ years of software engineering experience
  • Track record of deploying LLM-driven agents with tool access into production
  • Hands-on experience delivering agent-based products and user interfaces
  • Experience creating evaluation harnesses or pipelines for retrieval-augmented generation
  • Comfort working in an early-stage, rapidly scaling company
  • Daily use of AI coding tools
  • Ability to work on-site five days per week in San Francisco
  • Familiarity with payments concepts such as ledgers or money movement
  • Experience at a strong big tech team or transition from big tech to a startup
  • Computer science degree from a leading program
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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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