At a Glance
- Tasks: Build AI-powered systems for a finance super app, automating workflows and enhancing user experience.
- Company: BJAK, a leading insurance platform expanding into finance with a global team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on real-world impact and career advancement.
- Why this job: Join a passionate team redefining financial services with innovative AI solutions.
- Qualifications: Strong software engineering skills, especially in Python, and hands-on AI experience.
The predicted salary is between 60000 - 80000 £ 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.
Today, we are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more.
Our mission is 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 enjoys their work.
We are looking for the most talented and driven people we can find.
We are looking for people who work for their passion, not counting hours.
Who loves building great next‑generation products, not status quo.
Who cares about redefining how everyone around us can get the best financial applications, not 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 finance super app.
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 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.
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StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Finance Super App (UK)
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Bjak. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Applied AI Engineer - Finance Super App (UK)
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Bjak.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Bjak's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Bjak
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Bjak.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Bjak will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Bjak employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
