Software Engineering Leader
Yeo & Yeo HR Advisory Solutions (Recruiter)
Software Engineering
Ann Arbor, MI, USA
Posted on Sep 6, 2025
Are you an experienced software engineering leader looking to help build a fast-paced team in a startup environment? If so, read on!
About Us
We are an early-stage startup led by a team that has had multiple successful exits. We are building transformative products in the logistics space. Our team is small, agile, and deeply collaborative. We believe in rapid iteration, bold experimentation, and building with purpose. If you're excited about bringing AI to logistics in a fast-paced, high-impact environment, we want to hear from you.
About the Role
As our Software Engineering Leader, you’ll be a foundational member of the engineering team. You’ll lead the development of our AI infrastructure and products, hire and manage a growing team of engineers, and work closely with founders and cross-functional partners. This can be a contract or a full-time employment arrangement.
Key Responsibilities
- Lead and scale a team of AI/ML engineers and full-stack developers in a hands-on, high-growth environment.
- Architect and build robust, scalable systems for training, deploying, and monitoring AI models.
- Collaborate with product, design, and research to rapidly prototype and iterate on AI-powered features.
- Champion engineering excellence, code quality, and agile development practices.
- Make key technical decisions that balance speed, scalability, and innovation.
- Help shape company culture, hiring practices, and long-term technical vision.
- Stay on the pulse of the latest AI research and tools and evaluate their practical application.
About You
- Extensive full-stack software engineering experience, with prior experience in a technical leadership role.
- Strong background in AI/ML, including experience with deep learning frameworks.
- Experience in Java, Python React JS, Devops, MongoDB, and AWS accounts is ideal.
- Comfort with continuous learning and deployment, and agile. (extreme programming, Kanban, scrum methodology)
- Startup mindset: comfortable with ambiguity, fast decision-making, and wearing multiple hats.
- Excellent communication and collaboration skills.
- Ability to handle tight deadlines.