We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention.

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About The Opportunity

Transmit Security is a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative Data and GenAI group. As part of our full stack team, you will be at the forefront of developing cutting-edge AI and data products that will shape the future of our services.

If you are a talented Fullstack Engineer who enjoys solving complex problems and is looking for your next challenge, we want you to join our team!

What You'll Be Doing

• Design, implement, deploy, and maintain flows in our next-generation AI-based services used by users worldwide on a daily basis.
• Deliver both infrastructure and customer-facing features.
• Impact product architecture to ensure scalability, maintainability, and high availability.
• Collaborate closely with data engineers and ML engineers to integrate AI models into production environments.
• Contribute to the continuous improvement of our development processes and workflows.
• Develop chat-like experiences using advanced AI technologies.
  
  

Qualifications

• At least 3 years of proven experience developing complex web applications.
• Proven record implementing scalable REST APIs and services, taking a feature from the design board to deployment.
• Experienced with backend development using TypeScript / JavaScript + Node.js.
• Hands-on experience using SQL/NoSQL based databases.
• Familiar with frontend development using modern web frameworks (React/Angular/Vue).
• Product-oriented with a "can do" attitude.
  
  

Advantages

• Bachelor’s degree in computer science or a related field from a reputable university.
• Experience with Docker and Kubernetes.
• Experience with Cloud platform infrastructure (e.g., AWS, GCP, Azure).
• Experience integrating AI models and working with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
• Experience with observability and continuous delivery tools (e.g., Prometheus, GitHub Actions).
• Strong understanding of data pipelines, ETL processes, and data warehousing.
• Experience with GenAI LLM applications and data processing frameworks.
• Knowledge of programming languages used in AI research, such as Python, and experience with AI frameworks.