# Sr Software Engineer - Agentic Applications (Full Stack) at Databricks

> Design, build, and deploy production AI agents and full-stack applications using LLM orchestration and React interfaces.

- Company: Databricks (databricks.com)
- Location: Bengaluru, India
- Places: Bengaluru, India
- Posted: 2026-08-21
- Level: Senior
- Team: Agentic Applications
- Work mode: On site
- Type: Full-time
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8679982002
- Page: https://ye.saranatour.dev/jobs/sr-software-engineer-agentic-applications-full-stack-databricks-kn74tbnx47fds3tyvcspfhh0x18hd5fj

## The posting

Sr Software Engineer - Agentic Applications (Full Stack)
Databricks · Bengaluru, India

**GAQ226R75**

**About the Role**

We are looking for a **Senior Full Stack Developer**to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.

**Key Responsibilities:**

- Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tooling.
- Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
- Design and develop a high-performance React application for the agent's user interface.
- Collaborate with backend teams to integrate APIs and services, and build tools for agents.
- Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
- Implement comprehensive observability and tracing for agent runs and system performance.
- Build reusable, scalable UI components.
- Optimise application performance, responsiveness, and scalability.
- Participate in architectural discussions and contribute to solution design.
- Write clean, maintainable, and testable code with proper documentation.

**Required Skills & Experience**

- 5+ years of experience in full-stack development, with strong expertise in **Python** and **React.js**.
- Proven experience in designing, building, and deploying at least **1 production-deployed AI agent or LLM application**.
- Deep expertise in LLM orchestration, prompt engineering, and utilizing **tools/plugins** to extend agent capabilities.
- Experience with agent frameworks like **LangChain or LangGraph**, including implementing reasoning patterns like the **ReAct loop**.
- Experience with **observability, logging, and tracing** for AI agents.
- Experience building large-scale, enterprise-grade applications.
- Strong experience with API integration (REST/GraphQL).
- Experience working in Agile/Scrum environments.
- Strong problem-solving and system design skills
- Ability to work across frontend and backend integration layers
- Ownership mindset with attention to detail
- Good communication and collaboration skills

**Preferred / Good to Have**

- Experience with Node.js or Python for middleware development
- Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
- Experience with event-driven architectures (webhooks, CDC, async processing)
- Knowledge of CI/CD pipelines and DevOps practices
- Experience with Databricks platform and Mosaic AI

**About Databricks**

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

**Benefits**At Databricks, we strive to prov