Full Stack AI Engineer

Role Overview

We are seeking an AI Engineer to serve as a technical lead within a growing, operations-aligned engineering team. This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems.

What You Will Do

Lead the design, development, and deployment of production AI systems end-to-end, contribute hands-on to the codebase, establish scalable patterns for evaluation, deployment, and system reliability, conduct technical design reviews, and mentor and develop engineers.

Why It Might Be a Fit

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. The team is actively shipping, and this role focuses on strengthening technical execution, improving system reliability, and elevating overall engineering practices.

Requirements

• 5–8 years of experience building production software systems
• At least 2 years working with AI/ML or LLM-based solutions in production environments
• Demonstrated ownership of delivering end-to-end AI systems or features
• Strong understanding of modern AI development practices
• Comfortable working across the stack, including data pipelines, model serving, and application layers
• Sound judgment in making technical trade-offs
• Hands-on experience with LLMs, agent-based systems, or generative AI applications
• Familiarity with evaluation frameworks, prompt iteration, and model behavior tuning
• Understanding of limitations and failure modes of AI systems, and how to design around them
• Experience operationalizing AI workflows in real-world environments
• Experience serving as a technical lead or senior engineer on a team
• Proven ability to mentor and uplift other engineers
• Strong communication skills, including technical documentation and stakeholder engagement
• Ability to influence decisions and drive alignment without formal authority

Benefits

• medical
• dental
• vision
• life
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off
• paid company holidays
• family care and bonding leave