Artificial Intelligence Engineer

@GLC • Full-time • San Francisco, CA, US • 8h ago

🚀 Lead Applied AI Engineer | San Francisco, CA (Onsite)

We're partnering with an exciting, well-funded AI startup building the next generation of AI-powered design tools. This is an opportunity to lead the AI architecture behind a cutting-edge product used to transform how designers work.

If you're passionate about building production-grade AI systems—not just experimenting with models—this could be a great fit.

Compensation

Base Salary: $275,000–$350,000
Meaningful equity package

Location

📍 San Francisco, CA (Onsite, 5 days/week)

What You'll Do

Design, build, and optimize AI agents for production use.
Fine-tune and deploy language models for real-world applications.
Build and maintain low-latency, high-accuracy AI infrastructure.
Own AI systems end-to-end, from architecture through deployment.
Collaborate closely with engineering leadership to deliver AI-powered product features.
Evaluate model performance and continuously improve quality, latency, and reliability.

Must-Have Qualifications

5+ years of experience in backend engineering or applied AI engineering.
Hands-on experience building AI agents.
Experience building Small Language Models (SLMs).
Strong proficiency in TypeScript, Node.js, and Python.
Experience designing and managing infrastructure for low-latency, high-performance AI systems.
Undergraduate degree in Computer Science or a related technical field.
Ability to own technical execution from architecture through production.

Nice-to-Have Qualifications

Experience owning AI architecture and technical direction for a product.
Experience with model fine-tuning techniques such as LoRA, distillation, or similar approaches.
Startup or high-growth company experience.
Experience deploying and scaling production LLM applications.

Ideal Candidate