Engineering Lead – AI Prototyping

Summary

Join Turing's AI Prototyping team (UltraLab) as an Engineering Lead and guide a talented team in building fast, flexible AI-driven prototypes. You will be responsible for technical architecture, engineering best practices, and delivery while fostering a strong engineering culture. This role requires a strong product mindset and excitement for AI/GenAI's real-world applications. You will stay close to code and architecture while shaping process, culture, and cross-functional alignment. The ideal candidate thrives in an R&D environment and has experience leading fast-moving engineering teams. This is a high-impact leadership role where you'll help bridge the gap from idea to execution, solving real business problems and mentoring engineers.

Requirements

• 7+ years of software engineering experience, including 2+ in a tech lead or engineering management capacity
• Help accelerate team velocity by driving focus, reducing blockers, and enabling rapid iteration on high-relevance prototypes tailored to customer needs
• Solid grounding in software engineering fundamentals — including clean code, collaborative review, and lightweight CI/CD — with the judgment to balance speed and structure in a prototyping environment
• A track record of leading fast-moving engineering teams and delivering working products in ambiguous, early-stage environments–and the ability to thrive in that ambiguity, and solve strategic and technical problems
• Passion for AI/ML and practical experience integrating AI technologies into real products or internal tools
• Excellent communication skills; able to bridge technical and non-technical teams, and guide alignment between product goals and engineering direction
• Builder mentality: you enjoy solving problems through working software, and know when to move fast and when to stabilize

Responsibilities

• Lead technical design reviews and ensure high-quality, scalable architecture across rapid prototypes and full-stack AI applications
• Define and uphold engineering standards for code quality, observability, testing, CI/CD pipelines, and cloud infrastructure
• Stay up to date with AI/GenAI tooling and frameworks; guide integration into prototypes where valuable
• Translate product ideas and customer problems into robust technical strategies; evaluate tradeoffs between build-vs-buy or short-term-vs-scalable paths
• Collaborate with Product Managers and Designers to shape requirements and ensure technical feasibility during the discovery and prototyping phase
• Support fast-turnaround builds while planning for long-term maintainability and platform reusability
• Drive availability, reliability, and operational excellence standards even in quick-moving prototype contexts
• Mentor and grow a team of engineers, helping them build technical depth and ownership; foster a culture of experimentation, learning, and autonomy
• Contribute to the evolution of Ultralab’s internal engineering systems, from reusable components to DevOps playbooks and observability frameworks
• Facilitate cross-functional alignment with other engineering teams, product, design, and client-facing groups

Preferred Qualifications

• Experience with DevOps and platform engineering practices is a plus
• Experience in client-facing or consulting environments

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity