**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 up-to-date 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.

📌 Senior Software Engineer (Bengaluru)
🏢 Cargill
📍 Bengaluru