Lead Full-Stack Engineer

Crossing Hurdles; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Top compensation

Full benefits

Equinox membership

Private chef

Job summary

Crossing Hurdles is seeking a Tech Lead to join a fast-growing startup in San Francisco. This role involves building AI infrastructure to improve the reliability of autonomous agents. Applicants should have 5+ years of fullstack or backend engineering experience at top tier companies. Benefits include top compensation, full benefits, access to Equinox, and a private chef. This is a unique opportunity to impact AI technology directly by shaping the product roadmap in a compact, elite team.

Qualifications

• 5+ years of experience in fullstack or backend engineering at top tier companies.
• Ability to build core infrastructure that makes AI agents reliable.
• Experience with agile methodologies and working in fast-paced environments.

Responsibilities

• Build core infrastructure that enhances the reliability of AI agents.
• Join an elite team focused on rapid development and shipping.
• Work directly with customers to shape the product roadmap.

Skills

Fullstack or backend engineering

Experience at top tier companies

Agent Behavior Monitoring

Job description

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