BJAK
Founding AI Software Engineer (Remote)
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Founding AI Software Engineer (Remote)
role at
BJAK
Working Arrangement United States (Remote – work from anywhere in the US)
Role Overview Build AI systems that make finance simpler, smarter, and more inclusive. At BJAK we use AI to improve access to insurance and financial services across Southeast Asia, powering personalized recommendations, fraud detection, automation, and search.
Why This Role Matters
Your work will directly impact user experience, efficiency, and platform intelligence
You’ll contribute to production‑grade AI systems that serve millions
You’ll collaborate across functions and build scalable ML tools from the ground up
You’ll grow quickly in a lean, high‑impact engineering environment
Responsibilities
Work with product, data, and engineering teams to define ML goals and technical strategies
Design, build, and deploy machine learning models that power personalization, automation, and insight generation
Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment
Build scalable ML infrastructure and deployment pipelines
Integrate ML outputs into user‑facing products and backend systems
Stay current with AI/ML trends and apply relevant innovations into our stack
Contribute to debugging, testing, and optimization of production ML systems
Required Qualities
Take full ownership – you build models and ensure they drive real‑world results
Are a self‑starter who figures things out fast even with minimal guidance
Move with urgency – adapt, ship, and iterate quickly
Own problems end‑to‑end from data to deployment
Bring a team‑first attitude – humble, helpful, and raise the bar for others
Push through chaos – thrive in a startup pace with shifting priorities
Learn obsessively and share openly to help others grow
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
Strong proficiency in Python
2–4 years of experience in machine learning or backend software development
Experience with TensorFlow, PyTorch, or Scikit‑learn
Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation
Familiarity with model deployment, API development, or real‑world ML integration
Experience with Google Colab, Jupyter, and cloud ML platforms
Strong analytical, problem‑solving, and communication skills
Must be based in the US and open to remote collaboration across time zones
Nice to Have
Experience with NLP, computer vision, or recommendation systems
Familiarity with cloud services (AWS, GCP, Azure)
Exposure to Docker, Git, or CI/CD tools
Background in a high‑growth startup or agile product environment
Benefits
Competitive salary and performance‑based bonuses
Flexible, fully remote work arrangement from anywhere in the US
Direct impact – your work reaches millions of users across Asia
Flat structure – your voice is heard and contributions are seen
Opportunities for rapid personal and technical growth
Regional exposure and collaboration across Southeast Asia
About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We’re building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.
If you’re excited about building ML systems that solve real‑world problems at scale and thrive in a high‑impact, mission‑driven team, we’d love to hear from you.
#J-18808-Ljbffr
Founding AI Software Engineer (Remote)
role at
BJAK
Working Arrangement United States (Remote – work from anywhere in the US)
Role Overview Build AI systems that make finance simpler, smarter, and more inclusive. At BJAK we use AI to improve access to insurance and financial services across Southeast Asia, powering personalized recommendations, fraud detection, automation, and search.
Why This Role Matters
Your work will directly impact user experience, efficiency, and platform intelligence
You’ll contribute to production‑grade AI systems that serve millions
You’ll collaborate across functions and build scalable ML tools from the ground up
You’ll grow quickly in a lean, high‑impact engineering environment
Responsibilities
Work with product, data, and engineering teams to define ML goals and technical strategies
Design, build, and deploy machine learning models that power personalization, automation, and insight generation
Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment
Build scalable ML infrastructure and deployment pipelines
Integrate ML outputs into user‑facing products and backend systems
Stay current with AI/ML trends and apply relevant innovations into our stack
Contribute to debugging, testing, and optimization of production ML systems
Required Qualities
Take full ownership – you build models and ensure they drive real‑world results
Are a self‑starter who figures things out fast even with minimal guidance
Move with urgency – adapt, ship, and iterate quickly
Own problems end‑to‑end from data to deployment
Bring a team‑first attitude – humble, helpful, and raise the bar for others
Push through chaos – thrive in a startup pace with shifting priorities
Learn obsessively and share openly to help others grow
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
Strong proficiency in Python
2–4 years of experience in machine learning or backend software development
Experience with TensorFlow, PyTorch, or Scikit‑learn
Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation
Familiarity with model deployment, API development, or real‑world ML integration
Experience with Google Colab, Jupyter, and cloud ML platforms
Strong analytical, problem‑solving, and communication skills
Must be based in the US and open to remote collaboration across time zones
Nice to Have
Experience with NLP, computer vision, or recommendation systems
Familiarity with cloud services (AWS, GCP, Azure)
Exposure to Docker, Git, or CI/CD tools
Background in a high‑growth startup or agile product environment
Benefits
Competitive salary and performance‑based bonuses
Flexible, fully remote work arrangement from anywhere in the US
Direct impact – your work reaches millions of users across Asia
Flat structure – your voice is heard and contributions are seen
Opportunities for rapid personal and technical growth
Regional exposure and collaboration across Southeast Asia
About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We’re building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.
If you’re excited about building ML systems that solve real‑world problems at scale and thrive in a high‑impact, mission‑driven team, we’d love to hear from you.
#J-18808-Ljbffr