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Job Purpose and Impact

The Senior Full Stack Engineer, AI & Automation job designs, develops and implements complex full-stack applications and intelligent technology solutions that improve business processes and operational efficiency. With minimal supervision, this job develops scalable user experiences using React, enterprise services and APIs using Java/Spring Boot, and Python-based AI and automation solutions. This job partners with business and technology teams to integrate Generative AI, automation and enterprise systems while ensuring solutions meet organizational standards for security, scalability, reliability and performance.

Key Accountabilities

• FULL STACK DEVELOPMENT: Designs, develops, tests and deploys scalable enterprise applications using React, Java/Spring Boot and Python, applying modern software engineering practices and reusable design patterns.
• FRONT-END ENGINEERING: Develops responsive, reusable and high-performance user experiences using React, JavaScript/TypeScript and modern front-end development frameworks and practices.
• BACK-END & API DEVELOPMENT: Designs and develops enterprise backend services, REST APIs and microservices using Java and Spring Boot, integrating applications with internal and external systems.
• PYTHON & AI DEVELOPMENT: Develops Python-based applications and services supporting Generative AI, machine learning, data processing, intelligent automation and enterprise integrations.
• AI SOLUTIONS: Designs and integrates Generative AI and LLM-based capabilities, including Retrieval-Augmented Generation (RAG), AI agents, prompt engineering and AI-enabled workflows into enterprise applications.
• INTELLIGENT AUTOMATION: Identifies opportunities to improve business processes and implements intelligent automation solutions by integrating AI, APIs, workflow technologies and enterprise applications.
• SYSTEM INTEGRATION: Identifies technology interactions and dependencies across applications, APIs, databases and platforms to ensure integration, compatibility, functionality and performance targets are achieved.
• ENGINEERING STANDARDS & DEVOPS: Applies software engineering best practices including secure coding, code reviews, automated testing, CI/CD, Git, cloud-native development and containerization to deliver reliable and maintainable solutions.
• CONTINUOUS IMPROVEMENT: Evaluates emerging AI, automation and software engineering technologies and implements continuous improvement opportunities to simplify solutions, optimize performance and accelerate application delivery.
• TECHNICAL COLLABORATION: Partners with architects, product owners, engineering teams and business stakeholders to translate complex business requirements into scalable technical solutions and provides technical guidance to other engineers.

Qualifications

• Minimum requirement of 10 years of relevant software engineering experience. Typically reflects 12 years or more of relevant experience.
• BTECH / BE from a renowned technology institution .
• Demonstrated hands-on experience with React, Java/Spring Boot and Python.
• Experience designing and developing full-stack enterprise applications, REST APIs and microservices.
• Experience developing or integrating Generative AI, LLM, AI/ML or intelligent automation solutions.
• Experience with modern software development practices including Git, CI/CD, automated testing and cloud-based application development.
• Experience with RAG, AI agents/agentic workflows, workflow automation, Docker/Kubernetes, and cloud AI services is preferred.