Founding Engineer (Applied AI)

Worldwide Placement Limited operates as a recruitment agency connecting top talent with leading organizations to make a significant impact on the global job market.

Industry: Information Technology - Computer Software

Job Category: Information Technology

Role facts

Seniority Level - Entry

Management Experience Required - No

Minimum Education - Other

Willingness to Travel - Never

Security Clearance Required: No

Visa Candidate Considered: No

The company is an early-stage startup tackling blueprint understanding and cost estimation in construction with a model-garden approach. This role focuses on the intelligence layer, advancing computer vision and AI systems to shipped prototypes that users can rely on. You’ll join a small, impact-driven team building cutting-edge CV/ML solutions to enable faster, smarter construction workflows.

You'll be the company's first senior AI hire, owning the quality and intelligence of our multi-channel marketing agents end to end. Working directly with the founder, you'll shape agent architecture, evaluation systems, and learning loops while building out the AI team from the ground up. This role is critical to scaling the reliability and effectiveness of agents operating across SEO, content, social, and search channels.

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  Focus on the intelligence layer rather than the application layer.

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  Apply the newest computer vision, LLM models, and AI systems.

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  Ship initial prototypes quickly and improve them based on user feedback.

• Applied CV/ML experience with Python, machine learning, deep learning, and computer vision.

• 0-to-1 builder with AI in production experience.

• Growth mindset (slope > y-intercept) and a willingness to tackle challenging problems.

• Strong communication with empathy and honesty about what’s working or not.

• Comfortable with “schlep” work as part of building early-stage products.

• Bonus: experience building something people used or paid for (founder/startup) and/or a construction background.

• Logistics: SF-based or willing to relocate; full-time in-office.

• Industry/tech focus: deep involvement with computer vision object detection and coordinating ML models; emphasis on intelligence-side R&D over application-layer work.