Forward Deployed Engineer (AI)

TL;DR

Forward Deployed Engineer (AI): Architect, build, and deploy high-scale production AI applications on hirify.global’s platform with an accent on end-to-end customer engagement, AI/ML project optimization, and product management. Focus on designing reliable, observable services, translating ambiguous goals into clear outcomes, and collaborating across product, engineering, and customer teams.

Location: San Francisco, New York (Onsite)

Salary: $160000–$275000

Company

hirify.global powers inference for dynamic AI companies by uniting applied AI research, flexible infrastructure, and developer tooling to bring cutting-edge models into production.

What you will do

• Develop and maintain software systems and product features, primarily using Python in production environments.
• Partner with customers to design, implement, and deploy hirify.global solutions end-to-end, including sales, implementation, and expansion stages.
• Translate vague objectives into clear specifications and well-defined proofs of concept for rapid delivery.
• Optimize AI/ML projects and contribute to continuous improvement of the technical stack.
• Own products and customer projects end-to-end, combining engineering, project management, and product management roles.
• Navigate ambiguity and exercise judgment to solve problems efficiently.

Requirements

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related field.
• 1+ years of professional experience in a fast-paced, high-growth environment.
• Experience with general-purpose programming languages in production, preferably Python.
• Familiarity with AI/ML pipelines and ML model lifecycle.
• Strong communication skills on complex technical topics.
• Experience building or optimizing AI/ML projects is highly valued.

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) plan.
• Exposure to a variety of ML startups for learning and networking opportunities.