Applied AI Engineer

Posted 3 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
300K-500K Annually
Mid level
Professional Services • Consulting
The Role
Build and deploy AI-powered product features across interfaces, backend systems, and model coordination. Develop autonomous agent-style software, make architecture and delivery decisions, prototype with users and business clients, and help shape the product, technical foundations, and team culture. The role requires production experience with machine learning or LLM applications, advanced Python skills, and comfort across product development, software engineering, modeling, and infrastructure.
Summary Generated by Built In

About the company

Our client is an early-stage software company.

The role

Raydar is recruiting for this role on behalf of our client. Serve as an early engineering hire on a very small team, taking new AI-driven features from first idea through live deployment. The work blends hands-on building, independent judgment calls and regular conversations with the people who use the software.

What you'll do

- Take full responsibility for launching new AI-powered capabilities, covering the interface layer, backend logic and model coordination.

- Develop and refine autonomous, agent-style software that learns from usage patterns and handles repetitive tasks.

- Decide independently how to balance architecture quality, dependability and delivery pace.

- Talk with users and business clients to understand how they work, then build quick prototypes.

- Contribute to the direction of the product, the technical foundations and the team culture from the start.


Requirements

What we're looking for

- 2 to 6 years of relevant engineering experience.

- A track record of taking machine learning or LLM-driven software from nothing to a working production release.

- Prior time as a startup engineer, founder or owner of a significant product area.

- Advanced professional skill in Python.

- Comfort moving between product thinking, software engineering, modeling and infrastructure work.

- Creative product sense, including the ability to propose and shape new features.

- A strong academic record from a well-regarded university.

- Experience at AI research labs, AI-focused startups or infrastructure firms is preferred.


Benefits

Compensation and benefits

- Base salary: USD 300,000 to 500,000 per year

- Equity

- Relocation support

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in office

- Full-time

Skills Required

  • 2 to 6 years of relevant engineering experience
  • Experience taking machine learning or LLM-driven software from initial concept to production release
  • Prior experience as a startup engineer, founder, or owner of a significant product area
  • Advanced professional proficiency in Python
  • Ability to work across product strategy, software engineering, modeling, and infrastructure
  • Creative product sense and ability to propose and shape new features
  • Strong academic record from a well-regarded university
  • Experience at an AI research lab, AI-focused startup, or infrastructure firm
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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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