Staff Fullstack Engineer, Agentic Applications

Databricks

Job Location:

Mountain View, CA - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

P-1477

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

What youll do

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.

What were looking for

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.

Required Experience:

Staff IC

P-1477Databricks is transforming how it builds and operates People Technology moving from traditional SaaS configuration toward an AI-native agentic stack. Youll be the technical anchor of the People Tech pod driving the architectural shift from workflow automation to autonomous multi-agent systems...