SOFTWARE ENGINEER

Key Responsibilities

• Build robust, scalable, and secure backend microservices using Java and Spring Boot.
• Integrate AI/ML models, LLMs, and Generative AI APIs into existing Java applications.
• Design and maintain data pipelines for machine learning model training and inference.
• Create system architectures optimized for high throughput and low-latency AI responses.
• Implement vector databases for retrieval-augmented generation (RAG) workflows.
• Partner with Data Science teams to operationalize and scale Python-based prototypes into production Java code.

Required Skills and Qualifications

• Core Language Mastery: Proficiency in Java (version 17 or higher preferred).
• Frameworks: Extensive experience with Spring Boot, Spring Cloud, and Hibernate.
• AI/ML Tools: Hands-on experience with Java AI frameworks like LangChain4j, Spring AI, Deep Java Library (DJL), or Tribuo.
• Cloud & DevOps: Proficiency in one of AWS, Azure, or GCP, alongside Docker and Kubernetes.
• Technical Skills: Strong understanding of software design patterns, CI/CD pipelines, and agile methodologies.