Full Stack LLM Engineer
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.
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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What You’ll Build
- Chatbots
- Agent workflows
- Admin portals & tools for visibility and control
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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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