Java Agentic AI

Software development experience, with significant expertise in Java or Python and hands-on experience with AWS cloud services.

• Hands-on experience or strong understanding of AI/ML concepts, including supervised/unsupervised learning, model evaluation, and data preprocessing.

• Experience integrating AI/ML models into production systems using frameworks/libraries such as TensorFlow, PyTorch, or similar, and exposure to MLOps practices.

• Familiarity with AI-driven system design, including APIs for model inference, real-time vs batch predictions, and scalable model deployment.

• Deep understanding of fundamental computer science concepts, including Data Structures, Algorithms, and Object-Oriented Programming (OOP) design principles.

• Solid grasp of functional programming concepts and modern software design patterns.

• Considerable experience with and understanding of enterprise architecture paradigms.

• Proven ability in full-stack architecture design and application development.

• Strong analytical, creative problem-solving, and diagnostic skills.

• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Experience with containerization (Docker), build tools (Maven/SBT), and CI/CD pipelines.
• Exposure to data engineering or big data tools (Spark, Kafka) supporting AI pipelines.
• Experience with LLM-based applications, prompt engineering, or generative AI use cases is a plus.