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Founding Engineer

About the Role Join an early-stage consumer AI startup as a Founding Engineer — a rare 1-of-1 role working directly alongside the founding team to shape both the product and engineering culture. This company is building a real-tim...

Job Full source details
Clera (ashby) San Francisco, California, United States Source published Jun 3, 2026 Verified 2 hours ago
✓ 80% verification score · Source: Clera (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull Time
CountryUnited States
DepartmentEngineering

Overview

About the Role Join an early-stage consumer AI startup as a Founding Engineer — a rare 1-of-1 role working directly alongside the founding team to shape both the product and engineering culture. This company is building a real-time AI-enabled platform designed to digitize human connection, making AI interactions feel genuinely present and personal. You'll help lay the technical foundation from the ground up in a fast-moving, high-ambition environment. What You'll Do Build across the full application, collaborating closely with the founder, design team, and other engineers. Design and implement systems for memory, retrieval, proactivity, and AI responsiveness. Integrate real-time video generation and audio synthesis models — both internal and third-party. Set the bar for engineering quality and play an active role in recruiting world-class talent. Extensively use the product yourself to e

Full job description

Full Job Description

About the Role

Join an early-stage consumer AI startup as a Founding Engineer — a rare 1-of-1 role working directly alongside the founding team to shape both the product and engineering culture. This company is building a real-time AI-enabled platform designed to digitize human connection, making AI interactions feel genuinely present and personal. You'll help lay the technical foundation from the ground up in a fast-moving, high-ambition environment.

What You'll Do

  • Build across the full application, collaborating closely with the founder, design team, and other engineers.

  • Design and implement systems for memory, retrieval, proactivity, and AI responsiveness.

  • Integrate real-time video generation and audio synthesis models — both internal and third-party.

  • Set the bar for engineering quality and play an active role in recruiting world-class talent.

  • Extensively use the product yourself to ensure real user value and quality.

What We're Looking For

  • Required: Computer Science degree from a top university.

  • Required: 2–7 years of professional software engineering experience (not a new grad).

  • Required: Strong CS fundamentals and a track record of technically complex side projects.

  • Required: High energy, entrepreneurial spirit — prior startup or fast-moving environment experience strongly valued.

  • Required: Proficiency in Python, including typed scientific Python.

  • Bonus: Experience with real-time media, vision/video model training or deployment, memory systems, or audio synthesis.

  • Bonus: Familiarity with agentic coding or AI-assisted development workflows.

Compensation & Benefits

  • Salary: $175,000 – $225,000 USD annually

  • Visa sponsorship available

Location

This role is fully on-site in San Francisco, CA. Candidates must be willing and able to work in-person full-time.

Tips for this job

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  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

Discovered directly from the employer’s public Ashby Job Postings API. The complete public role content and compensation metadata were normalized into safe candidate-facing sections.

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