
Sr Full Stack Developer (AI Agents)
Databricks19 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and deploy AI agents for business-critical workflows with LLM orchestration, tooling, and ReAct reasoning loops.
- Build high-performance React applications and reusable, scalable UI components for agent interfaces.
- Develop Python or Node.js middleware to orchestrate agent calls and data flows.
- Integrate APIs and backend services, including REST and GraphQL services.
- Implement observability, logging, and tracing for agent runs and system performance.
- Optimize application performance, responsiveness, scalability, and production readiness.
- Participate in architectural discussions and contribute to solution design.
- Write clean, maintainable, testable, and documented code while collaborating across frontend and backend teams.
Requirements
- 5+ years of full-stack development experience with strong Python and React.js expertise.
- Experience designing, building, and deploying at least one production AI agent or LLM application.
- Deep expertise in LLM orchestration, prompt engineering, and tools or plugins for extending agent capabilities.
- Experience with LangChain or LangGraph and reasoning patterns such as ReAct loops.
- Experience with observability, logging, and tracing for AI agents.
- Experience building large-scale, enterprise-grade applications and integrating APIs through REST or GraphQL.
- Strong system design, problem-solving, communication, collaboration, and ownership skills.
- Preferred experience with Node.js or Python middleware, Salesforce APIs including REST, Apex, and RLM/CPQ, event-driven architectures, webhooks, CDC, asynchronous processing, CI/CD pipelines, DevOps practices, Databricks, and Mosaic AI.
- Experience working in Agile/Scrum environments.
Benefits
- Databricks provides comprehensive benefits and perks, with specific offerings varying by region.
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.