3 часа назад
AI Engineers
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 Engineers (LLM/AI Systems): Designing and deploying production-grade AI applications, agents, and full-stack products for complex enterprise workflows with an accent on system architecture, evaluation, reliability, and observability. Focus on building RAG pipelines and multi-step workflows, developing reusable LLM platform infrastructure, and shipping secure, maintainable systems at scale.
Location: London, UK; hybrid office attendance
Company
is an applied AI technology company developing and deploying AI-native systems for mission-critical operations across major enterprises and global organizations.
What you will do
- Design, develop, and deploy production-grade AI applications powered by LLMs, including intelligent agents, prompt workflows, tool use, and full-stack AI products.
- Work directly with enterprise customers to understand complex workflows and translate them into practical AI solutions.
- Design scalable system architectures that balance performance, reliability, cost, and maintainability.
- Build reusable infrastructure, tools, and workflows for Distillery, the internal LLM application platform.
- Develop rigorous evaluation frameworks covering accuracy, latency, cost, reliability, and safety.
- Improve observability, security, development workflows, evaluation practices, and deployment strategies for production AI systems.
Requirements
- 3+ 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 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, observability, reliable production systems, and modern DevOps practices.
Nice to have
- Experience deploying AI systems in enterprise environments.
- Experience with AWS, GCP, or Azure.
- Experience with agent architectures and long-horizon task execution.
- Familiarity with responsible AI practices, auditability, and governance.
Culture & Benefits
- Competitive salary, meaningful equity, and a comprehensive benefits package.
- Workplace Pension Scheme with employer contributions.
- Private Medical Insurance and flexible time off with holidays.
- Lunch provided on office days.
- Access to advanced models, modern AI tools, and real-world enterprise problems.
- Mission-driven, fast-moving culture focused on curiosity, pragmatism, and engineering excellence.
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