3 дня назад
Staff AI Engineer (AI Labs)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Engineer (AI Labs) (LLM/Agentic AI): Building evaluation harnesses, sandboxes, and focused prototypes to assess emerging AI technologies for a global fintech company with an accent on benchmarking, experimental design, security, and production readiness. Focus on comparing models and tools under realistic constraints, documenting trade-offs, and coordinating validated technologies into engineering hand-offs.
Location: Hybrid in Madrid, Barcelona, London, or Bucharest
Company
Financial infrastructure company powering global commerce and payment ecosystems across more than 60 countries.
What you will do
- Scout, prototype, and evaluate emerging AI models, tools, frameworks, agentic systems, vector databases, and orchestration technologies.
- Design evaluation environments with datasets, prompts, scenarios, telemetry, regression tracking, and benchmark coverage.
- Build focused prototypes to assess architecture, integration patterns, security boundaries, operational constraints, and failure modes.
- Compare vendor and open-source solutions across quality, cost, latency, security, and integration complexity.
- Write decision memos and readiness guidance, then coordinate validated technologies with engineering teams for productionization.
- Work with Security, Legal, Compliance, and AI teams on risk assessments, governance, guardrails, and reusable standards.
Requirements
- 8+ years of software engineering experience, including significant senior or Staff-level scope.
- Deep hands-on experience building and evaluating LLM-based systems and modern AI tooling.
- Experience with agentic or multi-step AI systems involving tool use, orchestration, state, retrieval, or external integrations.
- Strong software engineering, cloud infrastructure, observability, telemetry, testing, benchmarking, reliability, and distributed-systems skills.
- Experience designing evaluation datasets and benchmarks, including labelling, holdout discipline, LLM-as-judge methods, human evaluation, and statistical reasoning.
- Ability to communicate technical results clearly, influence without authority, and make trade-off decisions across quality, latency, cost, and vendor lock-in.
Nice to have
- Experience with AWS AI tooling and external copilots.
- Experience mentoring engineers, participating in technical hiring, and sharing knowledge through talks or meetups.
Culture & Benefits
- Flexible schedules focused on impact and productivity rather than fixed hours.
- Hybrid collaboration combining self-managed focus time with in-person connection.
- Opportunity to work on applied AI challenges in the fintech industry.
- Work from anywhere while traveling for up to three months per year.
- Referral bonus program and country-specific benefits.
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 →