T

Applied AI Engineer (0→1 Agent Products)

trimah technologies llc • San Francisco Bay Area
Visa Sponsorship
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Join a days-old AI agents lab founded by alumni from Tesla AI, Anthropic, Google DeepMind, and NVIDIA Research to build 0→1 agentic products. Own end-to-end product development across engineering, models, and infrastructure in a high-intensity, high-autonomy environment. Requires exceptional engineering ability, strong product judgment, and a track record of shipping user-facing products.

Key Highlights
4 seats available in San Francisco
$250k to $500k base salary plus 1-5% equity
Fully in-office role with visa sponsorship available (O-1 route for international candidates)
Paid 2-3 day work trial in SF as part of the process
Founding team from top AI companies (Tesla AI, Anthropic, Google DeepMind, NVIDIA Research)
Key Responsibilities
Own 0→1 agent products from concept to launch
Turn frontier AI capabilities into simple, reliable user experiences
Work across product, engineering, models, and infrastructure
Operate with high agency and ownership in a days-old, figure-it-out-yourself environment
Technical Skills Required
Full-stack engineering Product development AI/ML integration
Benefits & Perks
$250k to $500k base salary
1-5% equity
Visa sponsorship available
Paid work trial expenses covered
Nice to Have
Agentic-product pedigree (e.g., Cursor/Anysphere, Cognition, Decagon, Sierra, Adept, Applied Compute, Trajectory)
0→1 founder or early-team experience
Olympiad (IOI/IMO), quant, or world-class competitive background

Job Description

Hiring: Applied AI Engineer 4 seats ·

San Francisco · $250k to $500k base + 1 to 5% equity

The company: a days-old AI agents lab, founding team from Tesla AI, Anthropic, Google DeepMind, NVIDIA Research, Physical Intelligence, Adept and Jane Street.

Requirements

Exceptional engineering ability paired with strong product judgment and taste

Track record of building successful user-facing products, ideally 0→1

Strong intuition for turning frontier AI capabilities into simple, useful products

Comfortable across product, engineering, models, and infrastructure, not a narrow specialist

Execution and Ownership

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