AI Engineer (Remote)
New Today
Overview
AI Engineer (Remote) at BJAK
This is a remote role based in the United Kingdom, working 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.
At 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.
Why this role matters: you’ll connect AI models to user-facing experiences, shape how millions interact with smart financial services, and architect full-stack systems that combine backend, ML, and frontend layers.
What You’ll Do
- Build and deploy full-stack applications that incorporate ML models
- Work with data scientists and ML engineers to integrate models into scalable backend systems
- Develop APIs, backend services, and real-time data pipelines for intelligent features
- Design clean, performant, and intuitive UIs that surface AI insights to users
- Own the full development lifecycle—from architecture and testing to deployment and monitoring
- Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions
- Continuously improve the performance, usability, and reliability of AI-integrated applications
You’ll Thrive Here If You
- Own the outcome and care about impact, not just lines of code
- Solve problems end-to-end, from data and systems to UI and user flow
- Build fast and iterate quickly; V1 out now beats V3 someday
- Move forward in chaos and shifting priorities; lean resources excite you
- Think like a founder—proactively figure things out and ship
- Learn aggressively; new tools and failures fuel your growth
- Humility to learn from others and drive their growth
- Bring energy, clarity, and execution to raise the bar for your team
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field
- Strong proficiency in Python
- 2–4 years of experience in full stack development (frontend + backend)
- Strong programming skills in JavaScript (Node.js, React, or similar)
- Experience integrating ML models into production systems
- Familiarity with REST APIs, cloud deployment, and scalable architecture
- Comfortable working with SQL/NoSQL databases and distributed systems
- Strong grasp of software design patterns, testing, and debugging
- Must be based in the UK and open to remote collaboration with international teams
Nice to Have
- Experience deploying ML models using FastAPI, Flask, or TensorFlow Serving
- Familiarity with Next.js, Vue, or TypeScript
- Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS
- Background in high-growth startups or agile product teams
- Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users
What You’ll Get
- Competitive salary and performance-based bonuses
- Remote-first setup with flexibility to work from anywhere in the UK
- High-impact, high-ownership role in a product-led AI company
- Flat structure—your ideas are valued and your code is seen
- Fast-track growth with real visibility across engineering, data, and product
- Regional exposure across Southeast Asia and the chance to shape products at scale
About 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.
- Location:
- City Of London, England, United Kingdom
- Salary:
- £80,000 - £100,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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