Full Stack Software Engineer | San Francisco

re-zoo-me; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity

Job summary

Crossing Hurdles in San Francisco is seeking a Full-Stack Software Engineer to join our AI-focused recruitment platform. You will build and scale features for a real-time interviewer system, collaborating with product and backend teams.

Ideal candidates have 5–8 years in full-stack development, strong problem-solving skills, and a hands-on approach to shipping features on tight timelines. This onsite role offers substantial equity and a competitive compensation.

Qualifications

• 5–8 years of full-stack engineering experience (senior+ level).
• Experience with modern web stacks and scalable systems.
• Onsite in San Francisco, 5 days a week.

Skills

Full-Stack Development

Job description

Full Stack Software Engineer | San Francisco

Crossing Hurdles

San Francisco, CA Mid-Senior level Engineering and Information Technology Software Development

Crossing Hurdles connects skilled professionals with opportunities across leading AI training platforms and high-growth companies.As global demand for human input in AI development continues to grow, many platforms rely on large networks of capable contributors across technical, analytical, and knowledge-based domains. Crossing Hurdles helps professionals discover and access these opportunities by bringing together information, talent networks, and application pathways related to AI model trai...

Crossing Hurdles is a global recruitment firm partnering with an AI-first recruiting platform building a real-time AI interviewer.

Role Snapshot

Role: Full-Stack Software Engineer

YOE: 5 - 8 years of experience of full stack engineering experience (senior+ level)

Location: San Francisco | Onsite (5 days a week)

Compensation: $150K - $250K + Equity

About The Company

It is an AI-first recruiting platform building a real-time AI interviewer that helps companies dramatically improve hiring signal and speed. They conduct live, adaptive interviews over video and phone calls, asking personalized follow-ups in real time and helping employers evaluate candidates more accurately at scale.

Why You Should Consider

• Build a real-time AI interviewer used in production
• Solve hard, real engineering problems
• High ownership and founder-level exposure