Crossing Hurdles
Crossing Hurdles is a global recruitment firm that partners with cutting-edge startups to hire the best talent.
About Client
Our client is an
AI-first company
building a platform designed to deploy thousands of intelligent agents that automate complex real-world workflows. Backed by top-tier investors, the team is composed of founders and engineers from world-class AI and product companies. With a fast-growing customer base and a mission to scale AI systems to millions of daily interactions, they are assembling a high-caliber engineering team in San Francisco. Location : San Francisco, California, United States (Hybrid, 2–3 days in office) Compensation : $180k – $250k + Competitive Equity About the Role As an
AI Engineer , you’ll work at the intersection of
machine learning systems and full-stack product development . This role is ideal for engineers who thrive in early-stage, high-intensity environments, want to own technical decisions end-to-end, and have a passion for applying AI in production at scale. You’ll design and deploy AI-driven workflows, integrate models into customer-facing systems, and shape both product and infrastructure decisions alongside the founding team. Responsibilities Build and optimize
AI-powered workflows
for large-scale, real-time applications. Integrate AI models into production systems, ensuring reliability, scalability, and low latency. Own technical architecture spanning
customer integrations, APIs, and intelligent automation . Collaborate directly with product and design teams to build customer-facing features. Establish engineering best practices and mentor team members in an early-stage setting. Requirements 5+ years of engineering experience , ideally with exposure to AI/ML systems. Strong proficiency in
Python, TypeScript, React, Next.js
(experience with Go or backend infra is a plus). Experience deploying machine learning systems into production environments. Background in high-growth startups or large-scale platforms (AI, SaaS, consumer, or mobility). CS/Engineering degree from a top program (advanced degrees in ML/AI a plus). Passion for AI and ability to bridge research with productization. Founder-style mindset: grit, ownership, and adaptability. Why Join Shape the future of
AI-native platforms
and build systems used at massive scale. Join a
world-class founding team
and work closely with experienced AI and startup leaders. Competitive compensation with meaningful equity upside. Opportunity to define both
technical culture and product direction
at an early stage. If you’re an
AI-focused engineer who loves both building systems and deploying models in the real world , this is the chance to define the early chapters of a breakout company.
#J-18808-Ljbffr
AI-first company
building a platform designed to deploy thousands of intelligent agents that automate complex real-world workflows. Backed by top-tier investors, the team is composed of founders and engineers from world-class AI and product companies. With a fast-growing customer base and a mission to scale AI systems to millions of daily interactions, they are assembling a high-caliber engineering team in San Francisco. Location : San Francisco, California, United States (Hybrid, 2–3 days in office) Compensation : $180k – $250k + Competitive Equity About the Role As an
AI Engineer , you’ll work at the intersection of
machine learning systems and full-stack product development . This role is ideal for engineers who thrive in early-stage, high-intensity environments, want to own technical decisions end-to-end, and have a passion for applying AI in production at scale. You’ll design and deploy AI-driven workflows, integrate models into customer-facing systems, and shape both product and infrastructure decisions alongside the founding team. Responsibilities Build and optimize
AI-powered workflows
for large-scale, real-time applications. Integrate AI models into production systems, ensuring reliability, scalability, and low latency. Own technical architecture spanning
customer integrations, APIs, and intelligent automation . Collaborate directly with product and design teams to build customer-facing features. Establish engineering best practices and mentor team members in an early-stage setting. Requirements 5+ years of engineering experience , ideally with exposure to AI/ML systems. Strong proficiency in
Python, TypeScript, React, Next.js
(experience with Go or backend infra is a plus). Experience deploying machine learning systems into production environments. Background in high-growth startups or large-scale platforms (AI, SaaS, consumer, or mobility). CS/Engineering degree from a top program (advanced degrees in ML/AI a plus). Passion for AI and ability to bridge research with productization. Founder-style mindset: grit, ownership, and adaptability. Why Join Shape the future of
AI-native platforms
and build systems used at massive scale. Join a
world-class founding team
and work closely with experienced AI and startup leaders. Competitive compensation with meaningful equity upside. Opportunity to define both
technical culture and product direction
at an early stage. If you’re an
AI-focused engineer who loves both building systems and deploying models in the real world , this is the chance to define the early chapters of a breakout company.
#J-18808-Ljbffr