Job Description

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 Youll 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 Were 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: $175000 to $275000 annually. Visa sponsorship is available.

Location

On-site in San Francisco California United States.

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