Full Stack Engineer
Role details
Job location
Tech stack
Job description
- 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 frontend 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 guidelines, 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
Requirements
Experience with frontend frameworks (React, Angular, or similar)
Experience with conversational AI platforms
Exposure to responsible AI, observability, and model monitoring frameworks, Bachelor's degree in Computer Science, AI/ML or a related field
6-10 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