13 часов назад
Staff AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Engineer (LLM/TypeScript): Building an AI engineering platform and coding-agent infrastructure that improves developer velocity, software quality, and service reliability with an accent on agentic systems, evaluation, and secure data access. Focus on designing AI harnesses, enabling AI actors across the software development lifecycle, and measuring production impact across multiple engineering teams.
Location: London, UK; hybrid work with office attendance Tuesday through Thursday and optional work from home on Mondays and Fridays.
Company
is a profitable fintech company building consumer finance products including loans, credit cards, and car finance for the UK and US markets.
What you will do
- Build the core harness for 's AI cloud coding agent.
- Develop agent capabilities for specification, testing, service reliability, and software development workflows.
- Design security and data-governance controls so agents access appropriate production data safely.
- Enable engineering teams to create AI actors that integrate with the software development lifecycle.
- Measure AI impact on development processes and share effective practices across teams.
- Own solutions end to end, from problem definition and design through deployment, monitoring, and iteration.
Requirements
- 6+ years of software engineering experience in a mid-to-large-size organization.
- Commercial experience building AI tooling used by other engineers and improving developer experience.
- Strong full-stack TypeScript skills, including React or Next.js for engineering interfaces.
- Strong knowledge of LLMs, embeddings, MCPs, RAG, evaluations, and agentic platforms.
- Experience building production infrastructure with infrastructure as code, Kubernetes, or Lambda functions.
- Ability to influence practices across multiple teams and take ownership from design through production monitoring.
Nice to have
- Experience with Cloudflare infrastructure.
- Experience with Datadog, Sentry, or Grafana.
- Experience creating product guardrails such as SLOs and DORA metrics.
Culture & Benefits
- Small core AI Engineering team with broad influence and direct impact on engineering efficiency.
- Fast shipping, experimentation, learning, and continuous improvement are valued over perfection.
- Work on new AI tooling, workflow orchestration, and LLM-based systems rather than legacy maintenance.
- Best-in-class compensation with equity.
- Private health insurance and fresh office lunches Tuesday through Thursday.
- Inclusive workspace and well-being support in London.
Hiring process
- Screening call with the Hiring Manager.
- Take-home task followed by a technical interview based on the task.
- Interviews with the Engineering Manager and Hiring Manager.
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