AI Infrastructure Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Infrastructure Engineer (Web3): Building and optimizing the foundational AI platform to power products' reasoning and acting capabilities with an accent on model serving, prompt pipelines, and evaluation harnesses. Focus on developing agentic workflows, implementing AI observability, and creating scalable integration patterns for domain teams.
Location: Hybrid in London, United Kingdom
Company
is a company focused on making cryptocurrency safer and more accessible through AI-powered risk and compliance tools.
What you will do
- Build and maintain core AI platform components, including model serving infrastructure, prompt pipelines, and evaluation harnesses.
- Develop agentic workflows, orchestration scaffolding, and reliability mechanisms for autonomous AI capabilities.
- Implement observability for AI systems, tracking token costs, latency, and quality signals.
- Create tooling and frameworks for writing, versioning, and testing prompts across the organization.
- Collaborate with domain teams such as Real-time Risk and Investigations to integrate AI platform foundations.
- Research and integrate emerging AI model capabilities, orchestration patterns, and evaluation techniques.
Requirements
- Hands-on experience building with LLMs or ML systems.
- Strong software engineering fundamentals with a focus on clean, testable, and maintainable production code.
- Deep understanding of context windows, context rot, and compaction in agentic workflows.
- Exposure to API integration, orchestration, data pipelines, or model evaluation.
- Must be based in or able to work hybrid in London, United Kingdom
Nice to have
- Experience with LLM frameworks like LangChain, LangSmith, or Databricks AgentBricks.
- Proficiency in prompt engineering and evaluation dataset design.
- Interest in the crypto and digital assets ecosystem.
- Experience in regulated or compliance-adjacent domains.
- Familiarity with MLflow or Databricks ML lifecycle tooling.
Culture & Benefits
- Hybrid working model with the option to work from almost anywhere for up to 90 days per year.
- £500 remote working budget and $1,000 Learning & Development budget.
- 25 days of annual leave plus bank holidays and an extra day for your birthday.
- Enhanced parental leave providing 16 weeks of fully-paid leave.
- Private health insurance via Vitality and mental health support through Spill.
- Life Assurance (4x salary) and a £100 crypto bonus.
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 →