Job Title

World Wide Technology Holding Co, LLC (WWT) is a privately held global technology integrator and supply chain solutions provider. Through our culture of innovation, we inspire, build and deliver business results, from idea to outcome.Based in St. Louis, WWT works closely with industry leaders such as Cisco, VMware, NetApp, Dell EMC, HPE and several others, but also include emerging tech players. WWT employs more than 10,000 people and operates in more than 2 million square feet of state-of-the-art warehousing, distribution and integration space strategically located throughout the world. WWT ranks Glassdoors’ Best Places to Work and has been on Fortune’s 100 Best Companies to Work For list 13 years in a row!World Wide Technology is looking for a Full Stack Developer – AI & Automation role at Bengaluru to join our existing team.Position: Full Stack Developer – AI & AutomationContract OpportunityLocation: Bangalore, India (Hybrid – Onsite ~2 days/week preferred)Team / OrganizationClient – AI & Automation Center of Excellence(Internal productivity, platforms, and AI enablement)Role Overview:Client AI & Automation Center is looking for 6–8 Full Stack Developers to accelerate ongoing AI-driven internal platforms and asset development. These resources will be deeply integrated with the existing engineering team, working across multiple parallel initiatives focused on AI adoption, productivity measurement, reusable assets, and internal tooling.This is not a standalone project role—developers will collaborate closely with existing engineers, contributing code directly into shared frameworks and repositories.Key Responsibilities• Design, develop, and enhance reusable AI and automation assets (modules, frameworks, libraries) that can be adopted by internal teams at client.• Build and integrate backend services (Python-based) with frontend applications (React).• Contribute to internal platforms that measure AI adoption, productivity, and usage metrics across client premise/application/infrastructure.• Enhance and extend existing internal applications (e.g., sentiment analysis, data-driven tools, AI workflows).• Work with large, fragmented datasets and help improve data governance and usability.• Develop modular, well-documented components that other teams can easily consume (similar to internal open-source projects).• Collaborate across teams to improve AI-assisted development workflows, including long-running AI coding tasks and agent-based development models.• Use GitHub for version control, collaboration, and contribution workflows.• Work closely with internal stakeholders to understand requirements and deliver iterative improvements.Required Skills & ExperienceMust-Have Skills• Strong proficiency in Python• Strong SQL skills• Experience integrating frontend and backend systems• Familiarity with GitHub-based development workflows• Experience working in product development or platform engineering environmentsGood-to-Have Skills• React.js (Frontend development)• Experience with NoSQL databases (e.g., MongoDB)• Familiarity with Apache Airflow• Exposure to AI/ML-enabled applications or automation• Experience working with data warehouses• Comfort using AI coding tools (e.g., code generation, agent-based development, Cursor, Codex, etc.)Note: Candidates do not need to be experts across all layers. Strength in 1–2 core areas is acceptable; the team will support skill gaps.Technology Stack• Backend: Python• Frontend: React.js• Databases: SQL, NoSQL (MongoDB or equivalent)• Workflow Orchestration: Apache Airflow (in some cases)• Cloud: Snowflake , Client Internal Cloud (training provided)• Version Control: GitHub• AI Tooling: AI coding assistants, agent-based workflowsWorking Model• Hybrid model with strong preference for Bangalore-based candidates• Expected to work onsite ~2 days per week to ensure tight integration with the team• Work site will be near Ecospace Bellandur Area• Highly collaborative, fast-paced environment with multiple concurrent projectsIdeal Candidate Profile• Pragmatic engineer who enjoys building reusable platforms, not just one-off features• Comfortable working in ambiguous, evolving AI-driven environments• Collaborative mindset and willingness to work closely with internal teams• Interested in shaping how AI is adopted across a large enterprise