TL;DR
Product Engineer (Applied AI): Serving as a technical advisor to customers adopting Claude, guiding architecture decisions, and developing evaluation frameworks. Focus on implementing cutting-edge LLM patterns, building prototypes, and ensuring safe, beneficial AI systems.
Location: Hybrid role based in Seoul, South Korea, requiring in-office presence at least 25% of the time. Visa sponsorship is available for qualified candidates.
Company
hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems for the benefit of society.
What you will do
- Serve as a technical advisor to hirify.global customers from discovery through deployment of new products and workflows with AI models.
- Partner with account executives to deeply understand customer product requirements and architect technical solutions.
- Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API.
- Develop customized pilots, prototypes, and evaluation suites to demonstrate value for customer deployment.
- Lead hands-on technical workshops and code reviews with customer engineering teams.
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Requirements
- 4+ years of experience in technical roles such as Customer Engineer, Software Engineer, or Technical Product Manager.
- Production experience with LLMs, including advanced prompt engineering, agent development, and evaluation frameworks.
- Strong programming skills with proficiency in Python and experience building production applications.
- Expertise working with common LLM implementation patterns, prompt engineering, and agent/retrieval frameworks.
- Ability to navigate ambiguity and execute across domains with intellectual openness.
- Exceptional communication skills to convey technical concepts to diverse stakeholders with a collaborative approach.
Culture & Benefits
- Collaborative team working on a few large-scale AI research efforts.
- Value impact, advancing long-term goals of steerable, trustworthy AI.
- Competitive compensation and benefits, with optional equity donation matching.
- Generous vacation and parental leave, flexible working hours.
- Modern office spaces for collaboration with colleagues.
- Passion for advancing safe, beneficial AI systems.
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