AI Engineer

We are seeking a Software AI Engineer with strong backend development experience in Java and Python, combined with hands-on
experience in AI/ML model development, to build and maintain scalable enterprise applications. The role spans backend services, API implementation, database integration, cloud deployment, and AI solutions-including RAG (Retrieval-Augmented Generation)
architectures-under senior technical guidance

We are seeking a Software Engineer with 3-5 years of solid backend development experience in Java and Python to build and maintain scalable enterprise applications. The role focuses on hands-on development, API implementation, database integration, and supporting cloud-based deployments under senior technical guidance.

• Develop and maintain backendservices using Java (Spring Boot) and Python (FastAPI).
• Build RESTful APIs followingdefined architectural standards; integrate with relational databases.
• Implement business logic,authentication mechanisms (JWT-based security), and microservices-basedapplications.
• Design, develop, and deploy AI/MLmodels (NLP, predictive analytics, computer vision).
• Implement Retrieval-AugmentedGeneration (RAG) architectures to enhance AI solutions with knowledgeretrieval.
• Prepare data pipelines fortraining, preprocessing, and feature engineering.
• Containerize applications usingDocker and support CI/CD pipelines and cloud deployments (AWS preferred).
• Write clean, testable, andmaintainable code; implement unit and integration tests (JUnit, Pytest).
• Collaborate with cross-functionalteams to integrate AI/ML solutions into production-ready applications.
• 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 Python3.x
• Java: Spring Boot (REST APIs,configuration), Spring Data JPA, Spring Security basics
• Python: FastAPI, Pydantic,SQLAlchemy, async/await concepts, Pytest

• Knowledge of machine learning 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
• Basic understanding of microservices concepts
• Familiarity with OpenAPI/Swagger

• Experience with PostgreSQL/MySQL
• Writing queries and understanding relationships
• Exposure to migration tools (e.g., Alembic preferred)

• Docker (basic containerization)
• Exposure to AWS services (EKS, RDS preferred)
• Familiarity with CI/CD pipelines (GitHub Actions or similar)
• Basic logging and monitoring understanding