AI Full Stack Developer

Tata Consultancy Services · Tamil nadu, India

TCS is conducting a walkin drive on 22nd August in Chennai location. Apply if you are available for the drive

Things to carry-Govt ID(Adar/Pan card)

Experience Range

6-12 Years

Role Summary

Design and build AI-enabled workplace applications, agents, copilots, automation workflows, dashboards, and integration services. The role combines front-end, back-end, API, cloud, data, and AI engineering to create production-grade digital workplace capabilities.

Key Responsibilities

• Develop full-stack AI applications using modern front-end frameworks, APIs, cloud services, databases, and AI orchestration layers.
• Build workplace copilots, agentic workflows, RAG-based assistants, automation agents, telemetry dashboards, and self-heal integrations.
• Integrate with Microsoft Graph, Intune, Entra ID, Teams, ServiceNow/ITSM, DEX tools, knowledge repositories, and enterprise data sources.
• Implement secure authentication, authorization, observability, prompt management, evaluation, safety guardrails, and responsible AI controls.
• Create reusable components, APIs, microservices, cloud functions, CI/CD pipelines, and automated tests.
• Collaborate with architects, data stewards, UX, product owners, and platform engineers to convert DWP use cases into scalable solutions.
• Support PoC-to-production transition, performance tuning, reliability engineering, and production support handover.

Required Skills and Competencies

• React/Angular/Vue, Node.js/Python/.NET/Java, REST APIs, microservices, databases, cloud-native development, and DevOps
• Azure AI Foundry/OpenAI, language models, RAG, vector stores, prompt engineering, AI evaluation, and agent orchestration
• Microsoft Graph, M365, Intune, Entra ID, Teams apps, Bot Framework, Power Platform, or comparable enterprise workplace APIs
• Security, identity, secrets management, monitoring, logging, testing, and production-grade engineering practices
• Agile delivery, product thinking, rapid prototyping, and strong debugging capability

Preferred Certifications / Credentials

• Azure AI Engineer Associate
• Azure Developer Associate
• GitHub / DevOps certifications preferred
• Microsoft 365 Developer credentials desirable

Success Measures / KPIs

• Feature delivery velocity
• Production reliability and defect leakage
• AI response quality and evaluation score
• Reusable component adoption
• Business value from automated use cases

Interview Focus Areas

• Ability to explain a real enterprise transformation scenario and its measurable business value.
• Depth of architecture/design thinking and ability to manage trade-offs across security, experience, operations, cost, and scalability.
• Hands-on understanding of relevant platforms/tools, integration patterns, data flows, and governance controls.
• Communication style for CXO, customer, delivery, and engineering audiences.
• Evidence of reusable assets, demos, accelerators, governance playbooks, or delivery enablement created in previous roles.