Java Developer (Python/AI exp)

We are seeking an innovative and experienced AI Enabled Engineer to join our team. The ideal candidate will possess strong software engineering fundamentals and hands-on expertise in developing AI-powered solutions using Python and Java. This role requires experience in designing and building intelligent agents that are focused on enhancing end-user journeys and delivering seamless, personalized experiences.

The candidate will collaborate with cross-functional teams to architect, develop, and deploy scalable AI-driven applications that solve complex business problems and improve customer engagement.

Key Responsibilities

• Design, develop, and maintain AI-enabled applications and services using Python and Java.
• Build and deploy intelligent agents, copilots, and automation workflows that optimize end-user journeys.
• Develop, test, and integrate AI/ML models into enterprise applications.
• Collaborate with product managers, designers, and engineering teams to translate business requirements into scalable technical solutions.
• Design and implement APIs, microservices, and backend systems to support AI-powered capabilities.
• Integrate Large Language Models (LLMs), conversational AI frameworks, and third-party AI services into existing platforms.
• Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI systems.
• Ensure security, scalability, and maintainability of AI-enabled solutions.
• Stay current with emerging technologies and industry trends in artificial intelligence and agentic systems.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong programming experience in Python and Java.
• Proven experience in building intelligent agents focused on end-user journeys, including conversational AI, copilots, or autonomous workflows.
• Solid understanding of software engineering principles, object-oriented programming, and system design.
• Experience developing and consuming RESTful APIs and microservices.
• Familiarity with databases, including SQL and NoSQL technologies.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Generative AI, Large Language Models (LLMs), and agentic AI frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
• Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and Agile development methodologies.