Senior Full-stack Engineer - AI Prototyping (Ultralab)

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

 

About the Role

We’re looking for a hands-on, technically strong Engineering Lead to join our AI Prototyping team (UltraLab). This is a high-impact leadership role where you’ll guide a talented team of engineers to build fast, flexible AI-driven prototypes that help solve real-world business problems across industries.

UltraLab’s mission is to turn ambiguous business challenges into working AI prototypes — rapidly. As Engineering Lead, you’ll help us build that bridge from idea to execution. You’ll be responsible for technical architecture, engineering best practices, and delivery — while fostering a strong engineering culture that blends craft, speed, and innovation.

This role is ideal for someone who thrives in an R&D environment, has a strong product mindset, and is excited about what AI/GenAI can unlock in real-world applications. You’ll stay close to code and architecture, while also shaping process, culture, and cross-functional alignment across product, design, and clients.

Key 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.
  
  

What We're Looking For

• 7+ years of software engineering/Data science/Machine Learning experience, including 2+ in a tech lead or engineering management capacity. Previous Full stack development experience is mandatory. 
  
  
• 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.
  
  
• Experience with DevOps and platform engineering practices is a plus.
  
  

Bonus Points

• Experience in client-facing or consulting environments.
  
  

Why Join Us

The AI space is evolving fast — and you’ll be building right at the edge. This is a rare opportunity to lead a team shaping intelligent, responsive software that blends real-world needs with cutting-edge AI. Your impact will be tangible: solving real business problems, mentoring great engineers, and influencing how we build technology at scale.

You won’t just keep up with the future — you’ll help build it.

 

Values:

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
• We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

 

Advantages of joining Turing: