Senior Software Engineer

We are looking for a Senior Software AI Engineer with strong backend development experience in Java and Python 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 maintainbackend services using Java and Python.
• Build RESTful APIs followingarchitectural standards and integrate with databases.
• Develop, implement, and optimizemachine learning and AI models (NLP, computer vision, predictive analytics).
• Implement Retrieval-AugmentedGeneration (RAG) architectures to enhance AI solutions with knowledge
  retrieval for enterpriseapplications.
• Implement business logic,authentication mechanisms (JWT), and microservices-based features.
• Prepare data pipelines fortraining models and support data preprocessing/feature engineering.
• Containerize applications usingDocker and support CI/CD pipelines and cloud deployments (AWS).
• Write clean, testable,maintainable code; perform unit and integration testing.
• Collaborate with cross-functionalteams to integrate AI/ML solutions.
• Monitor and optimize model andapplication performance; troubleshoot and resolve technical issues.
• Participate in code reviews, agileceremonies, and knowledge-sharing initiatives.

• Proficiency in Java 17+ and Python 3.x
• Experience with Spring Boot, Spring Data JPA, and SpringSecurity basics
• Experience with FastAPI, Pydantic, SQLAlchemy, andasync/await concepts

• 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, andmigration 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