# Staff Fullstack Engineer, Agentic Applications

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Mountain View, CA
**Role:** Fullstack Engineering
**Salary:** $192k – $260k/yr
**Experience:** 8+ years
**Skills:** Python, LangChain, LangGraph, Crewai, Autogen, Semantic Kernel, REST APIs, GraphQL, Databricks, Spark, RAG, Llm Orchestration
**Posted:** 2026-06-17

> Technical lead building production agentic/LLM systems to automate HR, recruiting, and People Tech workflows at Databricks. Requires 8+ years engineering experience and 2+ years with agents, RAG, and multi-agent orchestration.

## Job Description

## What you'll 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 we're 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.

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**Apply:** https://hotfix.jobs/jobs/276b04ff-1ad8-46e7-a3c1-4835aad40153
**Canonical:** https://hotfix.jobs/jobs/276b04ff-1ad8-46e7-a3c1-4835aad40153