Full Stack LLM Engineer
Core
Build and integrate user-facing applications and backend systems that support cutting-edge AI-powered solutions, including conversational interfaces and admin portals.
Role type
Full Stack LLM Engineer
Builds
Chatbots, Agent workflows, Admin portals & tools for visibility and control
Domain
Enterprise AI, Cloud AI services, GenAI
Deliverable
production ML models | product features
Required skills
JavaScript, React, Next.js, Vue, Angular, Python, Node.js, Java, REST/GraphQL APIs, WebSocket, LangGraph, LangChain Agents, AutoGen, SQL, NoSQL, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), serverless technologies, API gateway patterns, SAP, Salesforce
Preferred skills
Experience with chat interfaces, form-based flows, multi-turn conversations, user-centric design, response caching, retry/back-off, token streaming, secure data handling, debugging, performance tuning, testing practices, enterprise system integration
Technologies
LangGraph, LangChain Agents, AutoGen, SAP, Salesforce, AWS, GCP, Azure
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; Implement response caching, retry logic, token streaming, and escalation mechanisms; 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.
Seniority
Mid-level, hands-on IC