TL;DR
Product Engineer (AI): Building and optimizing AI systems and integrating Claude API into core products for digital native businesses, with an accent on architecture design, evaluation frameworks, and cutting-edge LLM implementation patterns. Focus on advising customer product and engineering teams, developing customized pilots and prototypes, and contributing insights back to our Product and Engineering teams.
Location: Hybrid in San Francisco, New York City, or Seattle, USA. Expected in office at least 25% of the time.
Salary: $200,000 - $300,000 USD (Annual)
Company
hirify.global is a public benefit corporation focused on building reliable, interpretable, and steerable AI systems for the benefit of society.
What you will do
- Serve as a specialist technical advisor to customers deploying new products and workflows with hirify.global models.
- Partner with account executives and solutions architects to translate business requirements into technical solutions.
- Influence technical architecture decisions and customer product strategy through customized pilots, prototypes, and evaluation suites.
- Lead hands-on technical workshops and code reviews with customer engineering teams.
- Identify common design patterns and contribute insights to Product and Engineering teams.
- Create scalable public and internal assets documenting the latest LLM prompting, evaling, agentic, and architecture techniques.
Requirements
- 4+ years of experience in technical roles such as Customer Engineer, Software Engineer, or Technical Product Manager with a desire to work closely with customers.
- Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills with proficiency in Python or TypeScript for building production applications.
- Ability to navigate ambiguity, execute across domains, and find simple solutions to complex problems.
- High cooperation mindset for cross-organizational collaboration and exceptional communication skills.
- Visa sponsorship is available.
Culture & Benefits
- Competitive compensation and benefits, including equity donation matching.
- Generous vacation and parental leave, with flexible working hours.
- Collaborative team environment focused on high-impact AI research.
- Values impact — advancing long-term goals of steerable, trustworthy AI.
- Emphasis on empirical AI science and frequent research discussions.
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