7 дней назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Python/LLM): Building and improving production AI systems including customer chatbots, document extraction pipelines, and LLM-driven case-management workflows with an accent on autonomous account actions, retrieval, agent workflows, and evaluation. Focus on designing reliable services from ambiguous problems, expanding automation, and monitoring deployed solutions.
Location: London, UK; hybrid. Work from home is available on Mondays and Fridays, with office attendance on other days.
Company
is a fintech company building technology for consumer loans, credit cards, and car finance.
What you will do
- Improve the customer chatbot and expand the account actions it can complete autonomously.
- Develop faster and more accurate document extraction pipelines.
- Design LLM-driven workflows for case management.
- Identify manual processes that can be replaced with effective AI systems.
- Own solutions from discovery and prototyping through deployment, evaluation, and monitoring.
Requirements
- Strong engineering skills and experience building production systems.
- Hands-on experience using LLMs in real workflows.
- Experience with prompt design, retrieval pipelines, agent workflows, and evaluations.
- Understanding of business processes and sound judgement about AI automation opportunities.
- Ability to structure ambiguous problems, test hypotheses, and progress with partial information.
- Clear communication skills and the ability to explain trade-offs and influence stakeholders.
Culture & Benefits
- Work with LLMs, retrieval systems, agents, and automation pipelines.
- Join a small, autonomous team with meaningful ownership and decision-making power.
- Permanent full-time role with compensation including equity.
- Private health insurance and fresh office lunches from Tuesday to Thursday.
- Inclusive workplace with a focus on physical and mental well-being.
Hiring process
- Introductory call.
- Take-home exercise followed by a debrief.
- Case study and onsite final interview.
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