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1 день назад

AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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 Engineer (LLM agents/production systems): Building dependable AI and rule-based agents for a lead generation business with an accent on structured outputs, workflow integration, evaluation, and safe autonomy. Focus on connecting agents to data warehouses and internal APIs, enforcing permissions and guardrails, and operating systems with reliable tracing, failure handling, quality, latency, and cost monitoring.

Location: London, UK; hybrid working with 3 days a week in the office. Work from anywhere is available for 2 weeks a year.

Company

hirify.global operates a lead generation business supported by AI agents that diagnose performance problems and recommend marketing actions.

What you will do

  • Build and own rule-based and LLM agents end to end, from understanding operator workflows through production operation.
  • Use shared, versioned rules and tools rather than hard-coded agent logic.
  • Connect agents to the data warehouse, internal services, and APIs used by the business.
  • Produce structured, validated outputs and clear application logic that operators can trust.
  • Log decisions, context, approvals, and overrides; build mechanisms for progression from recommendations to approved and autonomous actions.
  • Evaluate agent behaviour and operate shipped systems through tracing, failure handling, and quality, latency, and cost tracking.

Requirements

  • 3+ years of engineering experience, including at least one LLM application or agent shipped to real users.
  • Production-grade Python and productive TypeScript experience, with typed, tested code and clear interfaces; both languages are used in the role.
  • LLM engineering experience with tool calling, structured outputs, context management, and evaluation on representative test sets.
  • Experience with SQL, HTTP APIs, containers, CI/CD, and a cloud platform.
  • Ability to debug using logs and traces.
  • Ability to design reliable AI systems covering data and context, security and governance, monitoring and observability, failure handling and recovery, cost, performance, and lifecycle.
  • Ability to choose between probabilistic and deterministic approaches and retain technical ownership of AI-native delivery.

Nice to have

  • Agents used daily by operators with a feedback loop.
  • AWS SageMaker, AWS ECS/Fargate, Terraform, and CircleCI.
  • Snowflake and dbt.
  • Event logging for analytics or machine learning.
  • Lead generation or ad tech experience.

Culture & Benefits

  • Hybrid work with 3 office days per week and 2 weeks of work-from-anywhere availability each year.
  • 25 days of paid holiday plus 8 bank holidays, increasing by 1 day per year up to 30 days; additional Christmas closure days.
  • Summer Fridays, life assurance, income protection, health, dental, and vision benefits allowance.
  • Six months of paid maternity leave and one month of paid paternity leave, subject to qualifying conditions, including same-sex and adoptive parents.
  • Defined Contribution Pension, Salary Sacrifice Scheme, wellbeing and mental health support, family support, and 2 charity days per year.
  • Work centred on commercial impact, ownership, candid communication, continuous improvement, deliberate skill growth, and sound judgement under ambiguity.

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