Full Stack Engineers Java and AI ML four positions

Senior Full-Stack Engineer with expertise in Java/J2EE and hands-on experience applying AI/ML, Generative AI, and Agentic AI in real-world, production systems. This role is ideal for a strong Java engineer who has expanded into modern AI-enabled architectures and is excited to build intelligent, scalable platforms. You will work in a small, fast-moving, and highly collaborative team environment to design, develop, and deploy mission-critical applications.

Key Responsibilities
Design and develop enterprise-grade backend systems using Java/J2EE (Spring, Spring Boot, RESTful services) Build and maintain full-stack applications, integrating backend services with modern front-end consumers Architect and implement AI-augmented and Agentic AI systems. Develop and evaluate NLP and GenAI solutions, including prompt engineering and model orchestration Collaborate with product owners, architects, analysts, and engineering peers to translate business requirements into scalable technical solutions Apply software engineering best practices, including clean architecture, design patterns, unit testing, and code reviews Lead or strongly influence technical decisions in a high-risk, high-uncertainty environment Ensure solutions meet compliance, governance, security, and quality standards Contribute to CI/CD pipelines, observability, and production readiness of AI-enabled applications

Required Expertise and Skills
Education & Experience Bachelor s degree in Computer Science, AI/ML or a related field 8 12 years of professional software development experience Core Engineering (Primary Skillset Java/J2EE) Strong, hands-on experience with Java/J2EE Expertise in Spring / Spring Boot, RESTful API design, and backend service development Solid understanding of software architecture and design patterns (OO, Functional, REST-based systems) Experience building scalable, secure, production-grade enterprise systems Experience participating as a hands-on contributor, producing clean, well-tested code AI / ML / Agentic AI Capabilities Working knowledge of machine learning, Generative AI, and Large Language Models (LLMs) Hands-on experience integrating AI/ML and LLM services with Java-based applications Practical experience with Agentic AI patterns, such as: Autonomous and semi-autonomous agents Tool invocation and function calling Multi-step reasoning and planning Memory and context management Experience with prompt engineering, model evaluation, and AI solution productization Familiarity with Python for ML/AI workloads and model integration Cloud & DevOps Experience with Docker, Kubernetes, and cloud platforms such as AWS or Azure Passion for CI/CD, automation, and production monitoring Understanding of model governance, compliance, and quality standards Collaboration & Leadership Outstanding collaboration and communication skills Proven ability to work independently with moderate to minimal guidance Ability to partner with enterprise teams and incorporate reusable platforms and shared capabilities Strong ability to translate complex business needs into practical, maintainable technical solutions Experience working in fast-paced, ambiguous environments with emerging technologies

Nice to Have: Experience with frontend frameworks (React, Angular, or similar) Experience with conversational AI platforms Exposure to responsible AI, observability, and model monitoring frameworks

Resume direct to kumar @ techpro-inc . com with Subject: Applying from Dice (only this line)

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