Software Engineer, Early Careers AI/UI

Location: San Jose, California, United States. Hybrid schedule with office work Monday through Thursday and a flexible Friday.

Company

hirify.global operates a TV streaming platform connecting consumers, content publishers, advertisers, and television devices.

What you will do

• Build and operate multi-step agents that detect service regressions, bisect faulty commits, propose fixes, and generate or review code.
• Develop internal skills, harnesses, and services that improve engineering productivity.
• Process real-time telemetry and events at streaming scale under CPU and memory constraints on consumer devices.
• Solve agent problems involving physical feedback, device fleets, and hardware-in-the-loop signals.
• Own features end to end across the hirify.global OS platform layer, applications, UI, and cloud integration.

Requirements

• Up to 3–4 years of professional engineering experience after completing studies.
• Strong systems or infrastructure fundamentals, including real-time data, telemetry, distributed systems, platforms, or device engineering.
• Experience building and shipping a multi-step agentic project used by other people.
• Ability to explain accountability practices for AI-generated or externally authored code, including design, review, and quality gates.
• Clear perspective on current limitations of agentic systems.
• Existing right to work in the United States required; visa sponsorship is not available.

Culture & Benefits

• Work with the hirify.global OS Platform UI team on experiences shipped to hundreds of millions of devices.
• Receive mentorship and join a dedicated squad through Project Ahsoka.
• Collaborate with product, design, and cross-functional engineering partners.
• Access healthcare, retirement options including 401(k), mental health and financial wellness resources, and paid time off subject to local policies.
• Work in a fast-paced, collaborative environment focused on pragmatic delivery and problem-solving.

Hiring process

• The interview loop includes a hands-on engineering exercise on an unfamiliar codebase.
• The exercise evaluates practical use of AI tools and problem-solving rather than memorization of an API.