AI Engineer- Java

evelop, 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.

**You have what it takes if you have...
**

**Programming & Backend
**

• Proficiency in Java 17.

• Experience with Spring Boot, Spring Data JPA, and Spring Security basics

**AI & ML
**

• 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

Architecture & Databases

• REST API development and microservices architecture

• PostgreSQL/MySQL experience with queries, relationships, and migration tools (Alembic)

• Familiarity with OpenAPI/Swagger

Cloud & DevOps

• Docker (containerization)

• Familiarity with AWS (EKS, RDS, ECR preferred)

• CI/CD tools (e.g., GitHub)

• Logging and monitoring basics

Soft Skills

• Strong problem-solving ability

• Experience in Agile/Scrum environments

• Effective collaboration with product, QA, and DevOps teams

#LI-Onsite