Lead Software Engineer, AI Labs

Quick Facts

• Role: Lead Software Engineer (AI Labs), product and customer-facing
• Focus: Customer-facing AI services and production software in an agentic era

Description

You will lead the design, build, deploy, and maintenance of production software and AI services—such as APIs, UIs, and agentic evaluators—while collaborating with engineers and stakeholders to solve real customer problems. The role includes building tools and pipelines for ML/AI efforts and rolling out scalable cloud architectures that support mission-critical workloads. You will rotate with demanding customers and partners to quickly understand their challenges and field-debug end-to-end deployments.

Responsibilities

• Bring cutting-edge theory into customer-facing practice
• Build tools and pipelines to support ML and AI efforts
• Design, build, deploy, and maintain production software and AI services (APIs, UIs, agentic evaluators)
• Roll out scalable cloud architectures and the software running on them
• Support end-user requirements gathering and executive presentations
• Understand tough customer problems and devise thoughtful solutions

Requirements

• BS in Computer Science with coursework in Artificial Intelligence (MS preferred)
• 5+ years software engineering experience focused on AI/ML (7–12 years for Lead)
• Proficiency in multiple programming languages such as Python, Go, Java, or C++
• Strong background in APIs, data modeling, and databases
• Experience with production cloud deployments such as AWS, GCP, or OCI
• Experience field-debugging full-stack deployments
• Ability to work independently and collaboratively in a dynamic environment
• Excellent written and verbal communication skills
• Ability to manage internal and external stakeholders and drive consensus across engineering and product teams
• Solid understanding of security principles and best practices
• Passion for continuous learning in AI and enthusiasm for mentoring peers
• AI-first engineering approach (use AI to move faster and build fluency across the stack)
• Experience using AI tools in development workflows (e.g., Claude Code, GitHub Copilot, Codex, Cursor)

Benefits

• Time off programs
• Medical, dental, vision, and mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program