Software Engineer - Model Developer Ecosystem (AI)

TL;DR

Software Engineer - Model Developer Ecosystem (AI): Revamping the model library with a focus on helping developers discover, evaluate, and select the right models for their specific use cases with an accent on technical depth, community building, and product thinking. Focus on creating guides, evaluations, and educational content that help developers navigate the increasingly specialized model landscape.

Location: San Francisco; New York

Salary: $185K – $210K

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

• Own the developer-facing narrative for the model library through guides, tutorials, demos, and reference content.
• Build and nurture both sides of the model ecosystem.
• Develop evaluation frameworks and use-case-specific criteria that go beyond benchmark scores.
• Create community programs, events, and education initiatives to establish hirify.global as the destination for model discovery and selection.
• Collaborate cross-functionally with product, engineering, and marketing to translate developer feedback into product improvements.
• Represent hirify.global externally at conferences, meetups, and community events.

Requirements

• Hands-on experience as a developer.
• Proven track record in developer relations, developer education, or technical content at a developer tools or infrastructure company.
• Strong written and verbal communication skills.
• Experience building or contributing to developer communities, ecosystems, or open source projects.
• Genuine curiosity about the AI/ML model landscape.
• Comfort with ambiguity and a bias toward ownership.

Nice to have

• Experience with AI/ML infrastructure, inference platforms, or LLM tooling.
• Familiarity with cost-optimization thinking in AI.
• Background supporting open source developer tooling or AI coding agents.
• Experience running internal AI education programs for engineering organizations.
• Prior work at a low-code, API-first, or model/data platform company.

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.
• Paid parental leave.
• Company-facilitated 401(k).
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.