At a Glance
- Tasks: Build AI-powered systems to automate financial workflows and enhance user experiences.
- Company: Join BJAK, a leading insurance platform revolutionising finance in Southeast Asia.
- Benefits: Hybrid work model, competitive salary, and opportunities for rapid career growth.
- Other info: Fast-paced environment with a diverse team and a focus on practical AI solutions.
- Why this job: Make a real impact by creating next-gen financial applications that help people manage their money smarter.
- Qualifications: Strong software engineering skills, especially in Python, and hands-on AI experience.
The predicted salary is between 63000 - 77000 £ per year.
About BJAK: The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it’s the leading insurance platform in Southeast Asia. We are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more. Our mission is to help people get more from their money every day.
We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoy their work. We are looking for the most talented and driven people we can find. We want people who work for their passion, not counting hours; who love building great next-generation products, not the status quo; and who care about redefining how everyone around us can get the best financial applications, not just for an exclusive few. If you're this person, we'd love to talk to you.
The Role: We are looking for applied AI engineers to build AI-native systems for BJAK's AI Finance Agent. This is not a research-only role. We need builders who can use AI to automate real workflows, improve products, reduce manual work and make financial services easier for users and teams.
What You'll Own:
- Build AI-powered workflows, assistants, agents and automation systems.
- Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
- Work with product and engineering teams to turn manual processes into scalable AI-native systems.
- Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
- Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
- Prototype quickly, test with users or operators, then productionize what works.
- Improve speed, quality and consistency across workflows using AI where it creates real business value.
What We're Looking For:
- Strong software engineering foundation, preferably with Python and backend systems.
- Hands-on experience building with LLM APIs, agents, RAG, workflow automation or AI tools.
- Able to connect AI systems with real product, data and operational workflows.
- Good judgement on where AI helps and where rule-based systems or human review are better.
- Understands evaluation, accuracy, latency, cost, privacy and failure modes.
- Fast builder who can prototype, test and ship practical systems.
- Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage.
The Kind of Builder We Want:
- Practical AI builder, not just a prompt experimenter.
- Thinks in workflows, systems and measurable quality.
- Can build quickly but still cares about guardrails and reliability.
- Comfortable working with messy real-world data and processes.
- Honest about what AI can and cannot do.
This Role Is Not For:
- People who only want research projects with no production ownership.
- Candidates who treat AI as demos instead of working systems.
- Engineers who do not care about evaluation, reliability or user impact.
- People who overclaim AI impact without evidence.
- Builders who cannot work with product, ops and business teams.
Location: This role is based in the UK. This is a hybrid role. You are expected to work from our UK office at least 3 days per week.
Language: English is our main working language across global teams. Strong English communication is required.
Interview Process: Our process is designed to move fast: Online assessment or practical task, Technical interview, CEO / final round. For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.
Applied AI Engineer - AI Finance Agent in London employer: Bjak
BJAK is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for ambitious professionals looking to make a significant impact. With a focus on employee growth and development, we offer numerous opportunities for advancement in a fast-paced, high-growth environment. Join us in our mission to scale operations across multiple countries and be part of a team that values ownership and efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - AI Finance Agent in London
✨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 Bjak 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 Bjak.
✨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 Bjak.
✨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 Bjak 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 Applied AI Engineer - AI Finance Agent in London
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 Bjak.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bjak 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 Bjak
✨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 Bjak 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.
