Назад
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4 часа назад

AI Software Engineer

80 000 - 180 000GBP
Формат работы
onsite
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 Software Engineer (LLM/Agentic Systems): Building AI-powered requirements features and agentic workflows that help hardware engineering teams draft, validate, and evolve complex systems with an accent on LLM integration, retrieval-augmented systems, and production reliability. Focus on designing evaluation harnesses, observability, safety guardrails, and full-stack AI capabilities across Python, TypeScript/Node.js, APIs, and managed cloud services.

Location: London, United Kingdom; on-site

Salary: £80K–£180K per year plus equity

Company

hirify.global develops an AI-native requirements platform for modern engineering organizations, helping hardware teams collaborate with AI agents to design, validate, and evolve complex systems.

What you will do

  • Design and ship AI-powered features for assisted requirements drafting, consistency checks, impact analysis, and intelligent suggestions.
  • Build agentic workflows that help systems and domain engineers explore designs, simulate changes, and validate requirements.
  • Evaluate and integrate language models, optimizing reliability, latency, cost, and debuggability in production.
  • Build data pipelines, evaluation harnesses, prompt and model management, observability, and safety guardrails.
  • Develop complete AI features across backend integrations, APIs, and simple UI hooks.
  • Partner with product and customers to identify valuable workflows, run experiments, and iterate based on usage.

Requirements

  • 3+ years of experience developing, testing, and operating production software at scale in a cloud environment.
  • Hands-on experience with modern LLM providers and tooling, including OpenAI, Anthropic, Hugging Face, vector stores, and RAG patterns.
  • Experience with prompt design, retrieval-augmented systems, evaluation methods, and safety or guardrail approaches.
  • Ability to assess tradeoffs between models, architectures, and deployment patterns and make pragmatic decisions.
  • Proficiency with TypeScript/Node.js and Python for AI and backend services.
  • Experience with Postgres and managed cloud services; comfortable working in a high-ownership, fast-paced environment.

Culture & Benefits

  • Competitive salary and meaningful equity.
  • Health, dental, and vision coverage.
  • Flexible time off.
  • Support for experimentation, learning, and staying current with the AI ecosystem.
  • Rapid prototyping followed by production hardening, with evaluation, observability, and safety included from the first version.

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