Senior AI Engineer, AI Labs

You'll be a founding member of Via's new AI Labs, an incubator-style team operating like a startup within the company. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and its partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale, without the constraints that usually come with it. If you're experienced at building AI products end-to-end and energized by the idea of doing that with a blank canvas, this is the role for you.

Responsibilities

• Build and ship production-grade AI products end-to-end, owning everything from problem framing and data pipeline design through to deployment and iteration in live environments
• Work closely with partners in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions
• Lead technical scoping workshops, directly interfacing with city leaders to solve challenging local problems with agentic workflows
• Work across a fast-moving and varied roadmap, contributing to intelligent tooling involving data consolidation, predictive modelling, real-time decision-making, and LLM-powered experiences
• Collaborate directly with product, data science, and operations teams to identify and prioritize the highest-impact AI opportunities across the business
• Write clean, scalable backend code that powers AI-driven features, designing APIs, managing data flows, and ensuring systems perform reliably at scale
• Help shape the technical culture of AI Labs from the ground up, contributing to how the team builds, reviews, ships, and iterates
• Stay close to the frontier of AI development and bring new ideas, tools, and approaches into the team proactively

Requirements

• 8+ years of hands-on experience building and shipping AI-powered products with a track record of owning features end-to-end rather than working in isolation on models or research
• Deep expertise across the AI/ML stack including LLMs, predictive modelling, and the data infrastructure required to support them in real-world environments
• Strong backend engineering skills, comfortable designing scalable APIs, working with distributed systems, and writing clean, maintainable code
• Comfortable operating in ambiguity and early-stage environments, taking ownership without being asked
• Strong communication skills to work cross-functionally and intellectual curiosity to keep pushing the boundaries of what's possible with AI
• Comfortable working directly with users and customers, and comfortable with travel to collaborate on-site

Benefits

• Free medical plans
• 401K matching
• Catered lunch on Wednesdays