The Role
Our client is looking for a Lead AI Engineer to spearhead the development of our state-of-the-art foundation model for manufacturing and CAD .
This is a leadership role at the intersection of AI, technical architecture, and company vision : a chance to shape not only our models, but the direction of AI in the physical world.
What You’ll Do
- Architect and lead the development of a next-generation foundation model that integrates text, geometry, and design intelligence.
- Build and code : set the standard for technical excellence in ML engineering and model development.
- Define and own the technical roadmap for Backflip’s core model, including architecture, data, training, and evaluation strategy.
- Shape AI strategy in close collaboration with Backflip’s leadership team, ensuring the technical direction is in harmony with product and customer goals.
- Drive execution : set ambitious objectives, define milestones, and uphold a high technical bar across the team.
- Mentor and develop engineers across AI and software, fostering growth, creativity, and technical mastery.
- Collaborate deeply with customers, product, and the sales team to ground model design in real-world feedback and deliver impactful AI-powered tools.
- Ship real products . You’ve done it before, and you’ll do it again - taking models from research to production systems used by real people in the physical world.
Who You Are
You’ve led and shipped at least one (ideally multiple) ML products or large models into real-world production .You have deep experience building large-scale multimodal or generative models (text, 3D, or visual), and are fluent in PyTorch, distributed training, and modern ML infrastructure.You’re comfortable thinking across architecture, data, and evaluation , and thrive in the ambiguity of solving hard problems end-to-end.You’ve led teams or initiatives that influenced company direction, product definition, or customer experience.You bring strong communication and leadership skills , with a clear sense of how technical vision connects to product and customer value.You care deeply about building tools that expand human capability , not just optimizing benchmarks.You’re inspired by the opportunity to redefine how AI reshapes manufacturing and design in the real world.What We’re Looking For
5-7+ years in deep learning / generative AI with a record of shipping complex systems.Expert in multimodal and generative models (transformers, diffusion, autoregressive); strong Python + PyTorch .Evidence of technical leadership as an IC : you’ve set standards, led cross-functional efforts, and made architectural decisions that lasted.Fluency from research to production : data strategy, training, tooling, serving, and performance engineering.Bonus
Experience with CAD , 3D geometry, graphics, differentiable programming, or AI for the physical world.