Senior Product Engineer (AI)

TL;DR

Senior Product Engineer (AI): Building features and products for serverless reinforcement learning on a training platform with an accent on APIs, UI, and infrastructure layers. Focus on understanding user workflows, partnering with research engineers, and driving long-term improvements to system reliability and development velocity.

Location: San Francisco, New York

Salary: $200K - $275K

Company

hirify.global powers mission-critical inference for the world's most dynamic AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling.

What you will do

• Design ergonomic APIs and abstractions to model complex resources and lifecycles.
• Work throughout the stack (API layer, backend and database implementation, infra layer) to implement features.
• Fine-tune and deploy models to develop intuition around training workflows.
• Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows.
• Drive long-term improvements to improve the reliability of systems and velocity of development.
• Fix bugs & resolve customer issues with urgency.

Requirements

• 5+ years experience building software applications.
• Deep knowledge of the web stack, databases, and distributed systems.
• Experience developing developer tooling or infrastructure products for external or internal users.
• Good taste in product, particularly developer-oriented tools.
• Interest in ML/AI infrastructure and willingness to learn.
• Strong communication skills with the ability to bridge technical depth and business needs.

Nice to have

• Experience launching features and products through different release cycles (MVP, Beta, GA, etc.).
• Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc.
• Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed).
• Experience developing AI products, tooling, or agents.
• Frontend fluency.

Culture & Benefits

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents.
• Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!).
• Paid parental leave.
• Company-facilitated 401(k).
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.