2 часа назад
AI Engineer (LLM)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM) (AI/LLM): Design and deploy production-grade AI applications, intelligent agents, and full-stack AI products for complex enterprise workflows with an accent on LLM tooling, system architecture, and rigorous evaluation. Focus on building reliable production systems, developing RAG and multi-step workflows, and balancing performance, cost, observability, security, and maintainability.
Location: London, UK; hybrid
Company
is an applied AI technology company partnering with major institutions to rearchitect critical operations through AI-native systems and mission-critical workflow products.
What you will do
- Design, develop, and deploy production-grade AI applications powered by LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products.
- Partner directly with enterprise customers to understand complex problems and translate them into AI solutions.
- Design scalable system architectures balancing performance, reliability, cost, and maintainability.
- Build reusable infrastructure, tools, and workflows for Distillery, the internal LLM application platform.
- Develop evaluation frameworks covering accuracy, latency, cost, reliability, and safety.
- Improve observability, security, maintainability, development workflows, evaluation practices, and deployment strategies.
Requirements
- 8+ years of professional software engineering experience.
- Strong proficiency in Python or TypeScript.
- Experience building and deploying LLM-powered applications or AI agents in production.
- Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks.
- Experience implementing RAG pipelines, tool use, or multi-step AI workflows.
- Strong understanding of AI system evaluation, debugging, and observability.
- Experience building reliable production systems with modern DevOps practices.
Nice to have
- Experience deploying AI systems in enterprise environments.
- Experience working across AWS, GCP, or Azure.
- Experience with agent architectures and long-horizon task execution.
- Familiarity with responsible AI practices, including auditability and governance.
Culture & Benefits
- Competitive salary, meaningful equity, and a comprehensive benefits package.
- Workplace Pension Scheme with employer contributions and Private Medical Insurance.
- Flexible time off, holidays, and lunch provided on office days.
- Access to state-of-the-art models, modern AI tools, and real-world enterprise problems.
- Ownership of high-impact projects within a mission-driven, fast-moving culture focused on curiosity, pragmatism, and excellence.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Музыка
Осень
Поддержка