Senior Al Engineer

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 Senior Software AI Engineer with 5-7+ years of 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 retrievalfor enterprise applications.
• 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 Spring Security basics
• Experience with FastAPI, Pydantic, SQLAlchemy, and async/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, 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