AI Engineer

About the Role

Build backend AI systems and infrastructure for a generative AI company focused on helping models and agents produce higher-quality creative and design work. You will work across agent systems, data pipelines, search, and inference infrastructure to make subjective qualities more measurable and useful.

What You'll Do

• Build agent harnesses, memory systems, and self-improvement loops.
• Design evaluation pipelines and synthetic data generation systems.
• Develop embedding, retrieval, and search infrastructure for large visual and creative datasets.
• Build web crawling and scraping systems to collect visual data at scale.
• Set up inference serving and APIs for client-facing products.
• Support security reviews, vulnerability mapping, and reliable infrastructure tooling.
• Create data collection and categorization systems for model training.

What We're Looking For

• At least 4 years of backend or infrastructure engineering experience building AI systems, agents, or ML pipelines.
• Strong Python skills, with experience in cloud infrastructure and CI/CD.
• Hands-on experience building crawling and embedding pipelines for large visual or creative datasets, along with retrieval and search systems.
• Experience developing AI-forward products, data generation and collection systems, and evaluation pipelines.
• A degree in computer science or a related technical field.
• Ability to independently solve ambiguous problems using pragmatic, straightforward approaches.
• Genuine interest in design, creativity, and making subjective qualities more measurable; open-source work or personal AI projects are a plus.

Compensation & Benefits

• Base salary: $175,000 to $275,000 annually.
• Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.