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Staff Fullstack Engineer, Agentic Applications

4 hours, 40 minutes ago
United States
Full-time
Lead
Full-stack Engineer
Software Development
Apache Spark Databricks GraphQL Python REST API
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Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised
View All Jobs 220

Description

  • Architect and build agentic systems that automate and augment People Tech workflows such as onboarding, offboarding, comp analysis, policy Q&A, and HR service delivery.
  • Define the pod’s agentic platform strategy, including agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.
  • Integrate systems such as Workday, Greenhouse, and ADP as agent-accessible tools and data sources through Databricks Unity Catalog and MCP-style interfaces.
  • Review designs, establish engineering standards, and lead architectural reviews across the People Tech roadmap.
  • Set the technical bar for the pod and guide engineering quality across the team.
  • Translate agentic capabilities into business outcomes for People, Legal, and Finance stakeholders.
  • Mentor engineers in the pod on AI-first thinking.
  • Drive architectural decisions and influence peers and stakeholders without relying on management authority.

Requirements

  • 8+ years of software engineering experience.
  • At least 2 years of experience building production LLM or agentic applications, including agents, RAG pipelines, tool use, or multi-agent orchestration.
  • Deep fluency in Python.
  • Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
  • Strong command of enterprise integration patterns, including REST and GraphQL APIs, event-driven architecture, and programmatic integration with SaaS HR/HCM platforms.
  • Experience with data platforms such as Databricks, Spark, or equivalent.
  • Experience building AI applications on lakehouse or warehouse architectures.
  • Track record as a technical lead who drives architectural decisions, writes RFCs, and raises team quality standards without relying on formal management authority.
  • Prior experience in People Tech, HR tech, or internal tooling domains is preferred.
  • Familiarity with Workday, Greenhouse, or similar enterprise HR platforms, especially via API or integration layers, is preferred.
  • Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts is preferred.

Benefits

  • Local pay range of $192,000 to $260,000 USD.
  • Eligibility for annual performance bonus.
  • Equity as part of the total compensation package.
  • Comprehensive benefits and perks offered regionally.
  • Fair and equitable compensation practices with pay influenced by skills, experience, certifications, and location.

Interested in this position?

Apply directly on the company website

Apply Now

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