AI Senior Software Engineer

Remote, USA
Posted Jun 14, 2026
Full-time

Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive

At BJAK, we’re using AI to transform how millions of people across Southeast Asia access, understand, and afford insurance and financial services. As an AI Senior Software Engineer, you’ll help architect and build intelligent systems - from fraud detection and personalized recommendations to smart automation and search - that power this mission.

This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our Kuala Lumpur HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.

Why This Role Matters

You’ll directly impact user experience, automation, and platform intelligence.

You’ll help design and deliver production-grade AI systems used by millions.

You’ll work cross-functionally and shape ML tools and infrastructure from the ground up.

You’ll grow fast in a flat, execution-driven team that values speed, learning, and ownership.

What You’ll Do

Define machine learning goals and strategies with product and data teams

Build and deploy models for personalization, automation, and insight generation

Own data preprocessing, feature engineering, model training, tuning, and evaluation

Develop and maintain scalable ML pipelines and infrastructure

Integrate ML outputs into user-facing applications and backend systems

Stay on top of new AI research and tools, and apply relevant innovations

Support system performance, debugging, and optimization in production environments

You’ll Thrive Here If You...

Take ownership - you care about what you build and the outcomes it drives

Work independently and figure things out without waiting for perfect direction

Embrace speed and ambiguity - you're comfortable with shifting priorities

Are curious, motivated, and always eager to grow your technical and product-thinking skills

Enjoy helping teammates and contributing to a humble, high-performing team culture

Are proactive - you solve problems end-to-end, even if it means learning something new

Thrive in a fast-paced, startup environment where done > perfect and learning is constant

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or any related field

2 - 4 years of experience in AI engineering or backend software development

Strong Python programming skills and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

Solid understanding of the ML lifecycle - from data wrangling to model deployment

Familiarity with deploying models into real-world systems or APIs

Experience using tools like Jupyter, Google Colab, or cloud-based ML platforms

Strong analytical thinking, debugging, and communication skills

Based in Malaysia, with the ability to work in a hybrid setup from PJ HQ

Nice to Have

Experience in NLP, computer vision, or recommender systems

Exposure to cloud infrastructure (e.g., AWS, GCP)

Familiarity with Docker, Git, CI/CD, or model deployment pipelines

Experience working in fast-growth startups or agile product environments

What You’ll Get

Competitive salary and performance-based bonuses

Hybrid work flexibility: remote work plus in-person collaboration at our HQ

High ownership and visibility - your work will reach millions

Rapid learning and growth in a mission-driven company

A flat structure where your voice is heard and ideas are valued

Cross-border exposure to regional product development

About BJAK

BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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