Full Stack Developer (AI & Automation) - Contract - Bengaluru (Hybrid)

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 Fortunes 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 & Automation

Contract Opportunity

Location: Bangalore, India (Hybrid Onsite ~2 days/week preferred)

Team / Organization

Client AI & Automation Center of Excellence

(Internal productivity, platforms, and AI enablement)

Role Overview:

Client AI & Automation Center is looking for 68 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 roledevelopers 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 & Experience

Must-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 environments

Good-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 12 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 workflows

Working 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 projects

Ideal 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