About The Role
We're looking for a smart, curious, and practical AI Engineer to join our global team in our London office. You'll work on real-world Generative AI applications, AI agents, and Python-based automation solutions for the consumer lending industry. This role is ideal for someone who wants to turn AI capabilities into measurable business impact, not just build demos. You'll collaborate closely with our UK and Shenzhen teams to explore, build, evaluate, and integrate AI into customer operations, internal automation, risk workflows, and lending operations.
What You'll Be Doing
- Build Generative AI and AI agent solutions for customer operations, internal automation, and lending operations
- Design prompts, workflows, and evaluation processes to make AI systems more reliable and useful
- Integrate LLMs with internal tools, APIs, databases, and business systems
- Write clean, scalable, and maintainable Python code
- Prototype quickly, test ideas, measure impact, and iterate based on real business needs
- Collaborate with teams in the UK and Shenzhen to identify high-value AI use cases.
- Help improve production reliability through testing, logging, monitoring, fallback handling, and human review where appropriate
- Stay up to date with AI trends and propose practical ways to apply them in our business
Who you are
- Ideally, 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, async programming, and clean code practices
- Solid understanding of Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations
- Familiar with prompt design patterns, evaluation methods, and techniques for improving reliability and reducing hallucination
- Interested in AI agents and workflow design, including tool calling, task planning, memory, orchestration, and human-in-the-loop systems
- Comfortable experimenting quickly, learning new tools, and turning ambiguous business problems into working solutions
- Able to communicate clearly with both technical and non-technical teams
Ways To Stand Out From The Crowd
- Practical LLM applications beyond simple chatbots or demos
- Experience with RAG, embeddings, structured outputs, function calling, or agentic workflows
- Understand how to evaluate AI outputs and improve reliability over time
- Worked with cloud AI platforms such as GCP Vertex AI, AWS Bedrock, Azure OpenAI, or similar tools
- Experience with financial services, consumer lending, credit risk, collections, or operations automation
- Experience with AI coding tools, such as Claude Code, Codex, or Cursor
What We Value
- Strong problem-solving ability
- Curiosity about how AI systems work under the hood
- Product sense and business awareness
- Bias for action and fast learning
- Ownership, pragmatism, and attention to quality
What we offer
- Everyone owns a piece of the company - equity
- Hybrid with 3 days a week in the office
- 25 days holiday a year, plus 8 bank holidays
- 2 paid volunteering days per year
- One month paid sabbatical after 4 years
- Employee loan
- Free gym membership through WellHub
- Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
AI Engineer in London employer: Abound
Abound is an excellent employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of Generative AI. With a hybrid work model based in London, employees benefit from competitive perks such as equity options and generous paid holidays, while also having the opportunity to work on impactful projects that shape the future of consumer lending. The company prioritises employee growth and encourages curiosity and problem-solving, making it a rewarding place for those looking to make a real-world impact.
