Fullstack AI Engineer

Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.

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.
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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.
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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 2 year(s) of experience is required

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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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