10 часов назад
AI Engineer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Generative AI): Building real-world Generative AI applications, AI agents, and Python-based automation for consumer lending with an accent on LLM integration, workflow design, and reliable evaluation. Focus on integrating AI with business systems, reducing hallucinations, improving production reliability, and turning ambiguous operational problems into measurable solutions.
Location: London, United Kingdom. Hybrid work with 3 days per week in the office.
Company
is a UK fintech company using advanced AI and Open Banking data to provide fair, affordable personal finance and consumer lending.
What you will do
- Build Generative AI and AI agent solutions for customer operations, internal automation, lending operations, and risk workflows.
- Design prompts, workflows, and evaluation processes to improve AI reliability and usefulness.
- Integrate LLMs with internal tools, APIs, databases, and business systems.
- Write clean, scalable, and maintainable Python code while rapidly prototyping and iterating on solutions.
- Improve production reliability through testing, logging, monitoring, fallback handling, and human review.
- Collaborate with teams in the UK and Shenzhen to identify and implement high-value AI use cases.
Requirements
- 1–3 years of hands-on experience in software engineering, AI, machine learning, automation, or related technical work.
- Strong Python skills, including API integrations, data processing, asynchronous programming, and clean-code practices.
- Understanding of Generative AI concepts including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations.
- Knowledge of prompt design, evaluation methods, reliability improvement, and hallucination reduction.
- Interest in AI agents and workflow design, including tool calling, task planning, memory, orchestration, and human-in-the-loop systems.
- Ability to communicate clearly with technical and non-technical teams and turn ambiguous business problems into working solutions.
Nice to have
- Practical experience with LLM applications, RAG, embeddings, structured outputs, function calling, or agentic workflows.
- Experience evaluating AI outputs and improving reliability over time.
- Experience with GCP Vertex AI, AWS Bedrock, Azure OpenAI, or similar cloud AI platforms.
- Background in financial services, consumer lending, credit risk, collections, or operations automation.
- Experience with AI coding tools such as Claude Code, Codex, or Cursor.
Culture & Benefits
- Equity ownership in the company.
- 25 days of annual holiday plus 8 bank holidays.
- Two paid volunteering days per year.
- One month of paid sabbatical after four years.
- Employee loan and free gym membership through WellHub.
- Team wellness budget for activities such as yoga, tennis, or bouldering.
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