Senior AI Engineer

Weave; San Francisco (CA); Hybrid; USD 175,000 - 215,000; Full time

Benefits offered by this job

Comprehensive health, dental and vision insurance

Generous PTO and parental leave

Career development opportunities

Bonus eligibility and equity packages

Job summary

Weave is seeking an experienced AI engineer in San Francisco, CA, focused on developing backend components for LLM applications. You will write production-ready code, automate testing, and design impactful solutions. A background in biomedical sciences and experience in startups are essential.

We offer a competitive salary ($175,000 to $215,000), benefits including health insurance, and opportunities for career growth in a collaborative environment.

Qualifications

• Hold background knowledge or education in the biomedical space.
• Proven history of working in early-stage, product-based startups.
• Direct interaction with LLMs without abstraction libraries.

Responsibilities

• Write production-ready backend code for LLM-facing components.
• Automate testing for LLM-in-the-loop code.
• Design and validate LLM-based solutions with real data.

Skills

Experience with production-ready backend code

Knowledge of LLMs

Biomedical background

SQL skills

Experience in early-stage startups

Tools

Web services and frameworks

ORMs

Job description

The Role & Your Mission

We’re seeking a hands‑on AI engineer who can bridge the gap between data and biomedical expertise while delivering robust backend code. Your primary focus will be building the LLM‑facing components of our backend service, while ensuring the AI models consistently produce high-quality content under real-world load.

The ideal candidate thrives in the full development cycle: taking concepts from initial conception through rigorous experimentation and testing, all the way to production deployment. You won’t get lost in low‑ROI side quests, but instead will maintain velocity with unwavering focus on the core value of your tasks.

We value pragmatic problem‑solving over flashy technology and buzz words, robustly tested solutions over demoware. We’re building solutions that actually work—simple, thoroughly tested, and rock‑solid reliable. If you believe the best technology is the one that consistently delivers results, you’ll fit right in.

What You’ll Own

• Writing production‑ready backend code for LLM‑facing components of our backend service
• Writing tooling for automating the testing of LLM‑in‑the‑loop code
• Designing and validating LLM‑based solutions and proving their effectiveness with real data and meaningful metrics
• Developing test metrics for key functionality

What You’ll Bring

• History of working at early‑stage, product‑based startups (<50 people)
• Scientist by disposition (and ideally by training); holds background knowledge or education in the biomedical space
• Extensive knowledge of LLMs in production
• Directly interacting with LLMs without abstraction libraries
• Humble, hungry, and smart
• Able to move quickly on tasks while producing high‑quality results
• Pragmatic, analytical thinker. Efficient decision maker
• Bonus: work with web services and frameworks
• Bonus: work with ORMs
• Bonus: knows SQL

What We Offer

• Opportunity to work at a modern, cutting‑edge healthcare technology company devoted to meaningful positive impact on human life. Collaboration, velocity, and customer obsession are our baseline, demonstrations of craftsmanship and ROI are celebrated.
• Competitive salary ($175,000 to $215,000), bonus eligibility and equity packages.
• Comprehensive health, dental and vision insurance.
• Generous PTO, parental leave, OneMedical, TalkSpace, Teladoc.
• Career development opportunities within a company entering a growth phase.
• Location: San Francisco Bay Area, CA with flexibility to occasionally work remote.

Equal Opportunity Employer: We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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