Founding Engineer, AI/ML

Wwshemi; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Founding equity

Visa sponsorship

Relocation assistance

Job summary

Wwshemi is hiring a founding engineer to build the intelligence layer for an AI-powered recruiting marketplace. You will own recommendations, ranking, retrieval, and LLM-powered matching from early design through production.

As a founding engineer, you will ship features at a rapid cadence, architect production data pipelines, and work closely with leadership to deliver end-to-end systems that power candidate-to-role matching.

Qualifications

• 2–5 years of software engineering experience shipping production features.
• Applied ML engineering experience with recommendations, ranking or matching.
• Experience shipping LLM-powered features via APIs and ML frameworks.
• Strong TS or Python production engineering skills and data pipelines.
• Solid CS fundamentals and ability to work in a fast-paced startup.
• Experience with React, Supabase, Prisma or similar search infra.
• Evidence of technical achievement via education, open-source or personal projects.

Responsibilities

• Own the AI/ML systems for recommendations, ranking, and retrieval.
• Build and improve LLM-powered candidate-to-role matching.
• Turn product goals into working features and ship them rapidly.
• Architect and maintain production data pipelines and services for models.
• Collaborate with leadership to deliver end-to-end product systems.

Skills

Software engineering

Applied ML engineering

LLM features

TypeScript or Python

Data pipelines

React (optional)

Embeddings / vector search

Startup environment

Education

CS degree or related field

Tools

Supabase

Prisma

Typesense

Job description

About the Role

Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that match candidates with relevant roles. As a founding engineer, you will take ownership of recommendation, ranking, retrieval, and LLM-powered matching from early design through production.

What You'll Do

• Own the AI/ML systems for recommendations, ranking, and retrieval.
• Build and improve LLM-powered candidate-to-role matching.
• Turn product goals into working features and ship them at a rapid cadence.
• Architect and maintain the production data pipelines and services that support models.
• Work directly with company leadership to deliver product systems end to end.

What We're Looking For

• Two to five years of software engineering experience building and shipping production product features.
• Applied ML engineering experience at a product company or startup, including production recommendation, ranking, or matching systems.
• Experience shipping LLM-powered features using LLM APIs, as well as hands-on work with PyTorch, TensorFlow, or equivalent ML frameworks.
• Strong production engineering skills in TypeScript or Python, with experience maintaining data pipelines and services.
• Strong computer science fundamentals and comfort with fast-paced, iterative startup work.
• React experience is useful, as are Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools.
• Evidence of strong technical achievement through education, open-source work, or personal projects.

Compensation & Benefits

Base salary is $130,000 to $170,000 annually, plus founding-hire equity. Visa sponsorship is available.

Location

On-site in San Francisco, California. The role requires working in person six days per week. Relocation assistance is available.