ABOUT US
Billigence Pty Ltd is a specialist in the delivery of market leading Business Intelligence and CRM solutions. Headquartered in Sydney, Australia and with offices in Prague, London, Frankfurt and Singapore our passion is data and our focus is the delivery of end-to-end solutions via a talented team of skilled professionals.
We are partners with leading edge software platforms including Tableau, Alteryx, Collibra, Snowflake, GCP and Salesforce.
Key Responsibilities
- Design, develop, and maintain scalable GenAI-powered web applications and microservices using Java, Spring Boot, Python and ReactJS.
- Implement and optimize RESTful APIs and microservices that integrate with GenAI models and AI-powered backend services.
- Build intuitive, responsive front-end features using ReactJS, React Native, and modern JavaScript frameworks.
- Integrate GenAI capabilities (e.g., LLMs, AI recommenders) into digital products, ensuring seamless user experiences across web and mobile platforms.
- Collaborate with AI/ML engineers, product owners, and designers to translate business requirements into robust technical solutions.
- Ensure secure and scalable deployment of applications using AWS services (e.g., Lambda, S3, API Gateway) and container orchestration with Kubernetes.
- Implement and maintain CI/CD pipelines for continuous integration, testing, and deployment.
- Write unit and integration tests to ensure code quality and reliability.
- Participate in code reviews, agile ceremonies, and cross-functional collaboration.
- Proactively identify opportunities for process and product improvement.
Required Experience & Skills
- Proficient in Java/Python and JavaScript, with hands-on experience in full-stack development.
- Strong experience with ReactJS for front-end development, building conversational UIs and chat interfaces. React Native experience is a plus.
- Experience building and consuming RESTful APIs and integrating with AI/GenAI services.
- Familiarity with GenAI concepts and frameworks (e.g., integrating LLMs, prompt engineering, AI-powered recommenders).
- Experience developing microservices using Spring Boot.
- Proficiency with AWS cloud services (e.g., Lambda, S3, API Gateway) and containerization/orchestration (Docker, Kubernetes).
Good to Have
- Experience with Python or Node.js for AI/ML integration.
- Familiarity with vector databases or AI model orchestration frameworks (e.g., Lang Chain, Hugging Face).
- Hands-on experience with Atlassian tool stack (JIRA, Confluence, Bitbucket, Bamboo).
- Understanding of personalization, recommendation systems, or conversational AI.
If this sounds like something you are interested in, please apply with your most up-to-date CV and we will be in touch!
Only successful candidates will be contacted.