At a Glance
- Tasks: Create impactful AI solutions for real-world applications in consumer lending.
- Company: Join a forward-thinking tech company with a global presence and collaborative spirit.
- Benefits: Equity ownership, hybrid work, generous holiday, paid volunteering, and wellness perks.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Transform AI capabilities into measurable business impact while working with cutting-edge technology.
- Qualifications: 1-3 years in software engineering or AI, strong Python skills, and a passion for innovation.
The predicted salary is between 50000 - 60000 £ per year.
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 Open AI, 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 Well Hub
- Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Abound or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Abound.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Abound.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Abound that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Abound.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Abound and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Abound
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Abound uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
