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2 месяца назад

AI Product Engineer

115 000 - 130 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Product Engineer (LLM/Agentic Systems): Building reliable AI infrastructure, natural-language approval workflows, and an intelligent collections agent for a revenue platform with an accent on production-grade LLM systems, deterministic business logic, and resilient backend engineering. Focus on designing agentic workflows, evaluation infrastructure, secure multi-provider AI systems, and recovery from partial failures in revenue-critical infrastructure.

Location: London, UK; hybrid with three days per week in the office

Salary: £115,000–£130,000 per year, plus equity

Company

hirify.global is building an AI-powered revenue platform for finance teams, covering quoting, billing, and revenue recognition.

What you will do

  • Build and own AI infrastructure for reliable software on top of non-deterministic models, including agentic workflows, tools, prompt iteration, and evaluations.
  • Develop AI-powered approval workflows that convert natural-language customer rules into deterministic and auditable business logic.
  • Build an intelligent collections agent that autonomously manages reminders, escalations, and payment-collection workflows.
  • Design and ship production backend systems with strong reliability, security, monitoring, and recovery from partial failures.
  • Work end-to-end with product, design, and customers to identify, build, ship, and support business-critical features.
  • Contribute to architecture and engineering practices as the team grows.

Requirements

  • Experience shipping LLM-based systems to real customers and understanding their production failure modes.
  • Experience designing agentic systems using components such as embeddings, memory, tool use, long-running state, and failure recovery.
  • Experience building evaluation infrastructure, including datasets, LLM-as-judge systems, prompt regression tests, and monitoring.
  • Production backend engineering experience and a strong focus on reliability for business-critical systems.
  • Understanding of AI security, multi-provider AI tooling, and secure operation of models treated as untrusted by default.
  • Clear communication, customer focus, ownership, and comfort working in an ambiguous, fast-moving environment with on-call responsibility.

Nice to have

  • Experience with Kotlin, Http4k, Spring Boot, Exposed, Result4k, Postgres, BigQuery, Vertex AI, LangSmith, Google Cloud Pub/Sub, Terraform, TypeScript, or React.
  • Experience working in an early-stage product engineering team.

Culture & Benefits

  • Small, cross-functional engineering organization with significant ownership and influence over architecture.
  • Three office days per week and team lunches on Wednesdays.
  • Meaningful share options.
  • 25 days of holiday plus bank holidays.
  • Flexible pension through Penfold with salary sacrifice available.
  • Visa sponsorship available.

Hiring process

  • The process typically takes approximately two weeks from start to finish.

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