ML AI Engineer for start up
San Francisco, CA - USA
Job Summary
We staff for tech product firms in USA and Canada helping them get just the right talent at the right time.
Tasks
System Architecture: Develop and scale autonomous AI agents and multimodal perception systems designed to navigate and interact with complex enterprise software interfaces.
Reliability Engineering: Build rigorous evaluation frameworks synthetic data pipelines and error-recovery loops to ensure model-driven workflows remain stable in high-stakes regulated environments.
Full-Cycle Deployment: Bridge the gap between frontier model research and production optimizing inference performance and integrating AI capabilities into core backend infrastructure.
Requirements
Technical Expertise: Strong background in Applied ML/AI specifically with LLMs Vision-Language Models (VLMs) or autonomous agents.
Software Engineering: Proficiency in production-grade Python and the ability to build reliable scalable systems rather than just research prototypes.
Problem-Solving: Experience with model iteration prompt/system design and a product-first mindset suited for high-ambiguity early-stage environments.
Benefits
Compensation: Top-of-market salary combined with a highly competitive founding-team equity package.
Standard Perks: Full medical dental and vision coverage plus 401(k) and a San Francisco-based office.
Growth & Impact: Opportunity to shape a seed-stage startup ($10M funding) alongside an experienced founding team
About Company
TechTalent Bridge is an elite tech recruitment firm headquartered in Toronto Canada (with presence in Ottawa and Costa Rica). The company specializes in connecting North Americas most innovative tech startups with the top 5% of engineering talent. Founded in 2010 by startup veterans a ... View more