Staff AI Engineer - End-to-End AI for Smart Cities

via; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Free medical plans

401K matching

Catered lunch on Wednesdays

Many other perks

Job summary

Via, a leading transportation technology provider, is launching an incubator-style team to bring cutting-edge AI solutions to cities and transit partners. This unit operates like a startup within Via, moving fast and shipping with autonomy.

As Staff AI Engineer, you will own end-to-end AI products—from problem framing and data pipelines to deployment in live environments—collaborating with city partners to solve real-world challenges and shape the AI Labs culture.

Qualifications

• 10+ years building full-stack apps with end-to-end ownership.
• 3+ years using AI tools or building AI-powered products.
• Deep expertise in AI stack including LLMs, predictive modelling, and data infrastructure.
• Strong engineer: scalable APIs, distributed systems, maintainable code.

Responsibilities

• Build and ship production-grade AI products end-to-end from framing to deployment.
• Collaborate with partners to understand problems and iterate on agentic solutions.
• Lead technical scoping workshops with city leaders to solve local problems.
• Contribute to data consolidation, real-time decision-making, and LLM-powered experiences.
• Work with product, data science and operations to identify high-impact AI opportunities.
• Write clean, scalable backend code powering AI-driven features.

Skills

Full stack development

End-to-end ownership

AI tooling

LLMs

Predictive modelling

Data infrastructure

API design

Distributed systems

Cross-functional communication

Willing to travel

Job description

Via, a leading transportation technology provider, is launching an incubator-style team to bring cutting-edge AI solutions to cities and transit partners. This unit operates like a startup within Via, moving fast and shipping with autonomy.

As Staff AI Engineer, you will own end-to-end AI products—from problem framing and data pipelines to deployment in live environments—collaborating with city partners to solve real-world challenges and shape the AI Labs culture.