Full Stack Engineer Java Ai Ml

We are seeking a 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.