AI Engineer

• Join the global team in London to work on real-world Generative AI applications, AI agents, and Python-based automation solutions for the consumer lending industry. • Turn AI capabilities into measurable business impact rather than just building demos. • Collaborate closely with UK and Shenzhen teams to explore, build, evaluate, and integrate AI into customer operations, internal automation, risk workflows, and lending operations.

• Have strong Python skills including API integrations, data processing, async programming, and clean code practices. • Have a solid understanding of Generative AI concepts including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations. • Be familiar with prompt design patterns, evaluation methods, and techniques for improving reliability and reducing hallucination. • Be interested in AI agents and workflow design including tool calling, task planning, memory, orchestration, and human-in-the-loop systems. • Be comfortable experimenting quickly, learning new tools, and turning ambiguous business problems into working solutions. • Be able to communicate clearly with both technical and non-technical teams.

• Have experience building practical LLM applications beyond simple chatbots or demos. • Bring experience with RAG, embeddings, structured outputs, function calling, or agentic workflows. • Understand how to evaluate AI outputs and improve reliability over time. • Have worked with cloud AI platforms such as GCP Vertex AI, AWS Bedrock, Azure OpenAI, or similar tools. • Have experience with financial services, consumer lending, credit risk, collections, or operations automation. • Have experience with AI coding tools such as Claude Code, Codex, or Cursor.

• 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 the business.

Abound is one of the most exciting fintech stories in the UK right now. In just five years, the co-founders have built a profitable, fast-growing lending platform that was named the UK's number one fastest-growing tech company by The Sunday Times in 2026, with nearly 500% annual revenue growth. The company generated £69 million in revenue and £9 million in profit before tax in 2024, which is remarkable given that, among the top 15 high-growth UK companies tracked by Sifted, Abound was the only profitable one. They have secured £2.2 billion in lending capacity from Citi, Deutsche Bank, Waterfall, and others, and have been listed among the top 250 global fintechs by CNBC. What makes Abound especially interesting as a place to work is the leadership pedigree: Gerald Chappell was previously a Partner at McKinsey and EY, where he led digital lending and credit analytics solutions globally, while Dr Michelle He was a Director at EY with a PhD in machine learning. The broader leadership team brings experience from Goldman Sachs, Citi, Airbnb, and other major institutions. The UK Glassdoor entity sits at 4.6/5, with every single employee recommending it to a friend. What comes through in reviews is the flat structure, data-driven culture, quick career progression, and the chance to learn directly from seriously experienced leaders. Everyone gets equity ownership, a 30-day paid sabbatical after 4 years, a free WellHub membership, and plenty of team socials. A couple of things worth knowing: some Glassdoor reviews flag high targets and performance pressure, and Abound runs a hybrid model from its London offices rather than being fully remote. That said, if you want to be part of a profitable, rapidly scaling UK fintech where your work has a real impact on making credit fairer for millions of people, Abound is a brilliant place to do it.

• Receive equity ownership in the company. • Work hybrid with 3 days a week in the London office. • Receive 25 days holiday a year plus 8 bank holidays. • Take 2 paid volunteering days per year. • Receive one month paid sabbatical after 4 years. • Access an employee loan benefit. • Receive free gym membership through WellHub. • Enjoy a team wellness budget for group activities.

Abound is redefining consumer lending in the UK and beyond using advanced AI and Open Banking data to make fair, affordable personal finance available to more people. Rather than relying almost entirely on credit scores, Abound looks at the full financial picture to build a deeper understanding of each customer's situation. Having issued over £1.3bn in loans directly to customers with market-leading credit performance, the company reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from investors including Citi, GSR Ventures, and Deutsche Bank, Abound is recognised as one of Europe's fastest-growing fintechs.