Staff Fullstack Engineer, Agentic Applications

The shape of it

In the posting’s own words

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.

What it asks for · 5

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

Also a plus

• 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.

What the job covers

• 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.

Tools and skills named

Words the posting leans on

• agentic6×
• experience6×
• people tech5×
• platforms5×
• pod4×
• agents3×
• architectural3×
• data3×
• enterprise3×
• frameworks3×
• llm3×
• systems3×
• technical3×
• applications2×
• architecture2×
• autogen2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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