Applied AI Engineer (Startups)

TL;DR

Applied AI Engineer (Startups): Serving as a deep technical advisor to high-potential AI-native startups to help them build products on the Claude Developer Platform with an accent on implementation, agent design, and scalable architectures. Focus on developing custom evaluation frameworks, creating technical resources, and solving complex AI engineering challenges at the frontier of AI.

Location: Hybrid in London, UK, requiring office presence at least 25% of the time. Visa sponsorship is available.

Salary: £225,000–£240,000 GBP annually.

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems.

What you will do

• Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases.
• Work hands-on with startup engineering teams, including pair programming, architecture reviews, and code contributions.
• Develop prototypes and technical documentation, including evaluation suites and architecture diagrams.
• Collaborate closely with Applied AI Architects, Product, and Engineering teams.
• Identify patterns across engagements and contribute insights back to product and engineering.
• Create technical content for startup audiences, including documentation, tutorials, and sample code.
• Foster community engagement through hackathons, webinars, and technical office hours.
• Travel to customer sites for workshops, implementation support, and relationship building.

Requirements

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder.
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, and evaluation frameworks.
• Strong programming skills with proficiency in Python and experience building production applications.
• Experience with startups or high-growth companies.
• Strong technical communication skills with the ability to translate complex AI concepts.
• Bachelor's degree in a related field or equivalent experience is required.

Culture & Benefits

• Work as a single cohesive team on large-scale research efforts.
• Focus on impact, steerable, and trustworthy AI as an empirical science.
• Extremely collaborative group with frequent research discussions.
• Competitive compensation and benefits, optional equity donation matching.
• Generous vacation and parental leave, flexible working hours.