AI Product Engineer (AI)

TL;DR

AI Product Engineer (AI Infrastructure): Building and optimizing product surfaces for a high-performance LLM inference platform with an accent on developer experience, API design, and scalable infrastructure. Focus on developing the developer console, fine-tuning workflows, and billing systems to handle trillions of tokens daily.

Location: Remote (USA) or onsite in New York, NY or San Mateo, CA

Salary: $200,000 - $350,000 USD + Equity

Company

hirify.global is a Series C generative AI infrastructure company delivering high-quality models with industry-leading LLM inference speed.

What you will do

• Design, build, and ship product features across the platform, including the developer console, API surfaces, and model playground.
• Own features end-to-end: from initial scoping and design to deployment and iterative improvement based on usage.
• Improve the developer experience for core capabilities such as serverless inference, fine-tuning workflows, and agentic orchestration.
• Develop across the full stack using React, TypeScript, Python, and Go to deliver production-quality interfaces.
• Partner with Infrastructure, Applied Research, and Design teams to translate platform capabilities into intuitive products.
• Instrument and monitor systems to identify friction and optimize the developer journey.

Requirements

• Must be based in the USA.
• 3+ years of software engineering experience with a focus on building user-facing products.
• Strong full-stack skills in React, TypeScript, Python, Go, and databases.
• Proven experience shipping developer-facing tools such as APIs, dashboards, or CLIs.
• Strong product instincts and the ability to operate at high velocity with extreme ownership.

Nice to have

• Experience building on complex infrastructure like inference platforms or ML tooling.
• Experience designing for deeply technical users (ML engineers, platform teams).
• Daily use of AI tools to accelerate development workflow.

Culture & Benefits

• Opportunity to solve hard problems at the forefront of AI infrastructure and low-latency inference.
• High-autonomy environment with a direct impact on the future of AI without corporate bureaucracy.
• Collaboration with world-class engineers and researchers from Meta PyTorch and Google Vertex AI.
• Competitive salary, comprehensive benefits package, and meaningful equity in a fast-growing startup.