# Staff Fullstack Engineer, Agentic Applications

**Company**: Databricks
**Location**: Mountain View, California
**Experience**: staff
**Job type**: full-time
**Salary**: $192,000-$260,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8220840002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_85bab97d-232

## Description

Databricks is transforming how it builds and operates People Technology , moving from traditional SaaS configuration toward an AI-native, agentic stack.

You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale.

This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

### Responsibilities

- Architect and build agentic systems that automate and augment People Tech workflows , onboarding, offboarding, comp analysis, policy Q&A, HR service delivery , using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent).

- Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.

- Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces.

- Set the technical bar for the pod , reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap.

- Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking.

### Requirements

- 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).

- Deep fluency in Python and experience with agentic frameworks , LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.

- Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically.

- Experience with data platforms , Databricks, Spark, or equivalent , and building AI applications on top of lakehouse or warehouse architectures.

- Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.

### Nice to Have

- Prior experience in People Tech, HR tech, or internal tooling domains.

- Familiarity with Workday, Greenhouse or similar enterprise HR platforms , especially via API or integration layer.

- Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts.

### Benefits

- Comprehensive benefits and perks that meet the needs of all employees.

### Pay Range Transparency

- The pay range for this role is $192,000-$260,000 USD.

## Skills

### Required
- Python
- LangChain/LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- REST/GraphQL APIs
- event-driven architecture
- Databricks
- Spark

### Nice to have
- People Tech
- HR tech
- Workday
- Greenhouse

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8220840002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)