At a Glance
- Tasks: Build AI agents that automate complex workflows in financial services.
- Company: Exciting startup backed by Y Combinator, transforming the fintech landscape.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a fast-paced environment with a chance to influence product direction.
- Why this job: Make a real impact in AI while shaping the future of finance.
- Qualifications: Strong software engineering skills and experience with AI-powered products.
The predicted salary is between 80000 - 100000 £ per year.
Our client is building AI agents that automate some of the most complex operational workflows in financial services. Their platform helps fintechs, banks, and regulated businesses investigate risk, perform due diligence, and analyse unstructured information using autonomous AI systems that can reason, research, and execute tasks with minimal human input. Backed by Y Combinator, Speedinvest, and a recent €2.5m seed round, they are already supporting customers across Europe, North America, the Middle East, and Asia, helping organisations reduce manual reviews by up to 65% while saving thousands of operational hours every year.
You'll join as an AI Product Engineer, building production AI agents and intelligent workflows that automate risk investigations, compliance processes, and due diligence reviews for global financial institutions. Working directly with founders and customers, you'll own products from idea to deployment in a fast-moving, AI-native environment.
Key Responsibilities- Build and deliver AI-powered product capabilities that solve real customer problems in highly regulated environments.
- Develop intelligent workflows that combine language models, business logic, external systems, and proprietary data sources.
- Design and improve the infrastructure that powers autonomous AI systems in production.
- Take ownership of features throughout their lifecycle, from discovery and implementation through deployment and continuous improvement.
- Collaborate directly with customers to understand operational challenges and rapidly translate feedback into product enhancements.
- Improve the reliability, performance, and scalability of AI-powered systems operating in live customer environments.
- Contribute to architectural decisions and engineering standards while maintaining a strong bias toward simplicity and execution.
- Help shape the future direction of both the product and engineering function as the company scales.
- Strong software engineering background with significant experience building backend applications and distributed systems.
- Commercial experience building and shipping AI-powered products or features used by real customers.
- Hands-on experience integrating LLMs, AI services, or intelligent automation into production systems.
- Experience designing APIs, integrations, and data-intensive applications.
- Strong understanding of the full software development lifecycle, including deployment, monitoring, and iteration.
- Practical experience using Python for AI, automation, or data processing workloads.
- Familiarity with agent-based architectures, retrieval systems, workflow orchestration, or modern AI tooling.
- Strong product instincts and the ability to balance technical quality with speed of delivery.
- Comfortable working directly with customers, gathering feedback, and operating with high levels of autonomy.
- Experience in fast-paced startup environments is highly advantageous.
If you’re excited by the opportunity to build AI agents that automate complex decision-making, transform how financial institutions manage risk, and help shape an ambitious AI company from an early stage, we’d love to hear from you.
AI Product Engineer employer: Impala Search
Join a pioneering company at the forefront of AI innovation in financial services, where you'll have the opportunity to work directly with founders and global clients in a dynamic, fast-paced environment. With a strong emphasis on employee growth, collaboration, and autonomy, this role offers a unique chance to shape cutting-edge products that significantly enhance operational efficiency for major financial institutions. Enjoy a supportive work culture backed by significant investment, fostering creativity and impactful contributions as you develop AI solutions that transform the industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Impala Search!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Impala Search.
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When you find a suitable opening like AI Product Engineer at Impala Search, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Product Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Impala Search, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Impala Search. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Impala Search
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Impala Search!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
