Software Engineering Lead

re-zoo-me; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Top compensation

Full benefits

Equinox access

Private chef

Job summary

Crossing Hurdles is hiring for a Tech Lead to join a fast-growing AI infrastructure startup in San Francisco. You will lead backend or fullstack initiatives, shape architecture, and mentor engineers across product and production teams.

Ideal candidates have 5+ years of experience at top-tier companies, a proven delivery record in scalable systems, and a hands-on approach to building reliable AI observability and tooling. Equity, top compensation, and comprehensive benefits offered.

Qualifications

• 5+ years of experience in fullstack or backend engineering at top tier companies.

Skills

Fullstack engineering

Backend engineering

Job description

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 leading US-based startups. We are hiring for a fast-growing startup building AI infrastructure that helps teams monitor, evaluate, and improve autonomous agents in production. Their platform tracks agent behavior, detects failures, and turns real-world data into insights to make AI systems more reliable and scalable.

Role Snapshot

• Role: Tech Lead
• YOE: 5+ years of experience in fullstack or backend engineering at top tier companies

About The Clint

The company builds infrastructure for Agent Behaviour Monitoring (ABM), surfacing behavioural issues like instruction drift and context loss that traditional observability misses. Teams use it to understand how autonomous agents perform in production by clustering patterns across conversations and workflows, correlating regressions to interaction types, and pinpointing where reliability breaks down.

Why should you consider ?

• Build core infrastructure that makes AI agents reliable by fixing hallucinations, drift, and production failures
• Join a sub-20 elite team shipping at massive velocity
• Get founding-level ownership by working directly with customers and shaping the roadmap
• Top compensation plus full benefits, Equinox, and a private chef