Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Cognitive Engineering | Full Stack AI Engineer Role Overview: We are seeking a Full Stack Engineer to build and integrate user-facing applications and backend systems that support cutting-edge AI-powered solutions. You will play a pivotal role in creating conversational interfaces, admin portals, and integrating APIs for seamless AI model orchestration and interaction. ________________________________________ Key Responsibilities: • Design and develop intuitive, responsive web and mobile interfaces for conversational AI interactions and admin dashboards. • Build scalable backend services and APIs to host, manage, and monitor AI model workflows. • Integrate AI agents and models into enterprise systems and user interfaces, enabling multi-turn dialogues and dynamic workflows. • Implement response caching, retry logic, token streaming, and escalation mechanisms for stable and responsive AI experiences. • Enable agent transparency through structured output parsing, logs, interaction history, and feedback workflows. • Ensure production-quality development through automated testing, error handling, and responsive design principles. ________________________________________ Key Skills and Experience: ?? UI Engineering • Experience with chat interfaces, form-based flows, and multi-turn conversations • Strong understanding of user-centric design and responsive UI development ?? Frontend Technologies • Hands-on with JavaScript, React, Next.js, Vue, Angular ?? Backend Engineering & API Integration • Skilled in Python, Node.js, Java, REST/GraphQL APIs, and WebSocket-based systems • Familiarity with LangGraph, LangChain Agents, AutoGen, and similar orchestration frameworks • Experience with response caching, retry/back-off, token streaming, and secure data handling • Experience in working with any one cloud and usage of serverless technologies • Experience in Database ( SQL & NoSQL) • Strong debugging, performance tuning, and testing practices ?? Enterprise Integration • Experience working with systems like SAP, Salesforce, or other enterprise platforms • Exposure to API gateway patterns and integration into AI pipelines • Knowledge of CI/CD pipelines and cloud platforms (AWS, GCP, Azure) Minimum 3 year(s) of experience is required

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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