Full Stack Engineer - Agentic AI & Databricks

Job Summary

We are looking for a Full Stack Engineer with strong experience in building production-grade web applications and a working understanding of LLMs, AI agents, and Databricks .

The engineer will build the user-facing layer for agentic AI applications hosted on Databricks , creating intuitive, responsive, secure, and reliable experiences that integrate seamlessly with AI agents and backend services.

This role sits at the intersection of Frontend Engineering, Backend/API Development, AI/LLM Integration, and Databricks , with strong ownership of both application functionality and user experience.

Responsibilities

• Design, develop, and maintain modern web applications hosted on Databricks , including Databricks Apps .
• Build intuitive and responsive user interfaces using React, TypeScript , or equivalent modern frameworks.
• Integrate applications with LLM and agent endpoints , including streaming responses, tool invocation, session management, conversation state, and file uploads.
• Develop backend services and APIs using Python/FastAPI/Flask and/or Node.js .
• Implement REST APIs, Server-Sent Events (SSE), WebSockets , and other real-time communication patterns.
• Design user experiences that clearly communicate AI-generated results, sources, citations, confidence indicators, and fallback scenarios.
• Implement authentication and authorization using OAuth2, OIDC, SSO, service principals, and role-based access control .
• Integrate applications with Databricks Model Serving endpoints, SQL Warehouses, Unity Catalog, and Databricks SDK .
• Design clear and maintainable contracts between application and agent layers in collaboration with AI, BI, and Lakehouse engineering teams .
• Handle application latency and failures using streaming, retries, timeouts, partial responses, and graceful degradation.
• Implement application monitoring, usage analytics, logging, and user feedback mechanisms.
• Build automated unit, integration, and end-to-end tests.
• Participate in code reviews, technical design discussions, and CI/CD implementation.
• Ensure applications meet modern standards for performance, accessibility, security, and responsive design .
• Work independently in a fast-paced, delivery-focused environment.

Requirements Full Stack Development

• 5+ years of overall Full Stack Engineering experience building and deploying production applications end to end.
• Strong experience with React and TypeScript or an equivalent modern frontend framework.
• Strong understanding of HTML5, CSS3, responsive design, component libraries, and state management .
• Experience with modern frontend architecture and reusable component development.
• Strong backend development experience using Python, FastAPI, Flask, and/or Node.js .
• Strong understanding of REST APIs and API integration .
• Experience implementing SSE or WebSockets for real-time/streaming applications.

AI / LLM / Agent Integration

• Working understanding of LLMs, AI agents, agent workflows, and common AI failure modes .
• Experience integrating LLM or agent APIs into production applications .
• Understanding of streaming AI responses, tool calling, conversation/session state, context handling, and error/fallback scenarios.
• Ability to design user interfaces that make AI interactions understandable and usable.

Databricks

• Hands-on exposure to Databricks and its application ecosystem.
• Experience with Databricks Apps .
• Knowledge of Databricks SQL Warehouses .
• Experience working with Model Serving endpoints .
• Understanding of Unity Catalog permissions and access controls .
• Experience using the Databricks SDK .

Security Authentication

• Strong understanding of OAuth2 / OIDC .
• Experience with SSO, service principals, authentication tokens, and secure token management .
• Understanding of RBAC and authorization patterns .
• Ability to develop secure APIs and frontend integrations.

Engineering DevOps

• Strong experience with Git and CI/CD pipelines .
• Experience with automated testing and test-driven development practices.
• Familiarity with Docker/containerisation .
• Understanding of application observability, logging, monitoring, and performance optimization.
• Strong debugging and troubleshooting skills.

Good to Have

• Experience working with design systems and Figma .
• Experience with data visualization using Plotly, D3.js, or Databricks AI/BI dashboards .
• Experience with rapid prototyping using Streamlit or Dash .
• Knowledge of frontend observability and performance tuning.
• Experience with cloud-native application development.
• Familiarity with AI evaluation, user feedback loops, and application telemetry.
• Experience working closely with Data Engineering, AI/ML, BI, or Lakehouse teams .

Education

• Bachelors or Masters degree in Computer Science, Information Technology, Engineering , or a related discipline.
• Equivalent practical experience may also be considered.

What We re Looking For

• Strong ownership and ability to deliver production-ready applications independently.
• Excellent problem-solving and debugging skills.
• Strong understanding of both frontend UX and backend engineering .
• Ability to work effectively across Full Stack, AI, Data, and Lakehouse teams .
• Comfortable working in a short, fast-paced, delivery-focused engagement.
• Strong communication and collaboration skills.

Keywords

React | TypeScript | Python | FastAPI | Flask | Node.js | REST API | SSE | WebSockets | LLM | GenAI | AI Agents | Agentic AI | Databricks Apps | Databricks SQL | Model Serving | Unity Catalog | Databricks SDK | OAuth2 | OIDC | SSO | RBAC | Docker | Git | CI/CD | Automated Testing | Streamlit | Dash | Plotly | D3.js

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.