AI Engineer- Java

We are building next-generation platforms that leverage AI and machine learning to transform how organizations understand, develop, and deploy talent. Our applications serve enterprise clients and individual users through sophisticated web interfaces that handle complex data visualization, real-time analytics, and multi-tenant architectures.

We are looking for a Software AI Engineer with 3+ years of strong backend development experience in Java to build scalable, secure, and high-performance enterprise applications. The ideal candidate will contribute to microservices-based
systems, develop RESTful APIs, and collaborate with cross-functional teams to deliver production-grade solutions.

In this role you will...

• Design, develop, and maintain backend services using Java.
• Build RESTful APIs following architectural standards and integrate with databases.
• Develop, implement, and optimize machine learning and AI models (NLP, computer vision, predictive analytics).
• Implement Retrieval-Augmented Generation (RAG) architectures to enhance AI solutions with knowledge retrieval for enterprise applications.
• Implement business logic, authentication mechanisms (JWT), and microservices-based features.
• Prepare data pipelines for training models and support data preprocessing/feature engineering.
• Containerize applications using Docker and support CI/CD pipelines and cloud deployments (AWS).
• Write clean, testable, maintainable code; perform unit and integration testing.
• Collaborate with cross-functional teams to integrate AI/ML solutions.
• Monitor and optimize model and application performance; troubleshoot and resolve technical issues.
• Participate in code reviews, agile ceremonies, and knowledge-sharing initiatives.

• Proficiency in Java 17.
• Experience with Spring Boot, Spring Data JPA, and Spring Security basics

• Knowledge of machine learning algorithms and frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience in RAG architectures, model training, evaluation, optimization, and deployment
• Familiarity with large language models (LLMs) is a plus

• REST API development and microservices architecture
• PostgreSQL/MySQL experience with queries, relationships, and migration tools (Alembic)
• Familiarity with OpenAPI/Swagger

• Docker (containerization)
• Familiarity with AWS (EKS, RDS, ECR preferred)
• CI/CD tools (e.g., GitHub)
• Logging and monitoring basics

• Strong problem-solving ability
• Experience in Agile/Scrum environments
• Effective collaboration with product, QA, and DevOps teams