Founding Engineer, AI/ML
At a glance
Mid-level AI Engineering role at Clera. San Francisco · full-time · $130,000–$170,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Take recommendation, ranking and retrieval technology from initial design into live product use
- Develop LLM-based matching features to improve how candidates pair with roles
- Carry product work from defining the problem through release, with frequent delivery
- Keep model-supporting data flows and production services running
- Translate product goals with company leaders into systems users can use
What you bring
- Two to five years building and releasing complete software product features
- You have shipped applied AI/ML products, including live recommendation, ranking or matching systems
- You have built features using production LLM APIs and worked directly with PyTorch, TensorFlow or a comparable framework
- Strong production coding ability in TypeScript or Python, plus experience with data flows and services
- More than six months of substantial work experience in the United States
Who this fits
This suits a mid-level engineer with experience delivering software and applied AI/ML products who can work directly with the founding team. You'll work in person in San Francisco six days each week. Relocation support is available, and visa sponsorship is offered to eligible candidates.
From the employer
About the Role
Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that match candidates with relevant roles. You will own this core product area and work closely with the founding team to turn product goals into production systems.
What You'll Do
Own recommendation, ranking, and retrieval systems from design through production.
Build LLM-powered matching features that improve candidate-role alignment.
Take product features from problem definition to production, shipping at a rapid cadence.
Architect and maintain the data pipelines and services that support production models.
Work directly with company leadership to translate product goals into shipped systems.
What We're Looking For
Two to five years of software engineering experience building and shipping end-to-end product features.
Substantive experience shipping applied AI/ML products, including production recommendation, ranking, or matching systems.
Experience building LLM-powered features with production LLM APIs, and hands-on work with PyTorch, TensorFlow, or equivalent ML frameworks.
Strong production engineering skills in TypeScript or Python, plus experience with data pipelines and services.
Strong computer science fundamentals and experience working in fast-paced startup environments.
More than six months of substantive U.S.-based work experience.
React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are helpful.
Demonstrated technical achievement through education, open-source contributions, or personal projects is valued.
Compensation & Benefits
Base salary is $130,000 to $170,000 annually, plus founding-hire equity. Visa sponsorship is available for eligible candidates.
Location
On-site in San Francisco, California. Relocation is supported. The role follows an in-person, six-day-per-week work schedule.