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Working arrangement: United Kingdom (Remote - work from anywhere in the UK)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we''re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As an AI Engineer, you''ll bridge machine learning and software engineering to deliver real AI-powered features into users'' hands.This is a remote role based in the UK, working closely with our Malaysia HQ and cross-functional regional teams. You''ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role Matters

You''ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou''ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou''ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You''ll Do

Build and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou''ll Thrive Here If You...

Own the code, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don''t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirements

Bachelor''s degree in Computer Science, Software Engineering, or related field2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in Python and JavaScript (React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureStrong grasp of software design patterns, testing, and debuggingMust be based in the UK and open to remote collaboration with international teamsNice to Have

Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You''ll Get

Remote-first setup with flexibility to work from anywhere in the UKHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAK

BJAK is Southeast Asia''s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you''re excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we''d love to hear from you. Job ID MsAmuxCwLE8l

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