Full Stack LLM Engineer

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 3 year(s) of experience is required

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