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)