Staff Fullstack Engineer, Agentic Applications

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.