Databricks

1 month ago

Staff Fullstack Engineer, Agentic Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the design and construction of an agentic People Tech platform, building LLM-powered workflows for onboarding, offboarding, comp analysis, and HR service delivery. Define patterns, integrate HR systems, drive architectural standards, and mentor engineers to deliver AI-first solutions that translate into business outcomes.

Location: Mountain View

Workplace: Onsite

Job Function: Software Engineering

Key Responsibilities

•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.
•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 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.

Pay and Benefits

Salary: USD 192,000 - 260,000 annually

Equity and Bonus:Equity

Key Requirements

•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.

Experience:8+ yearsHR techPeople Tech

Skills:CommunicationProblem-solvingLeadership

Languages:English

Tech Stack:PythonLangChainLangGraphCrewAIAutoGenSemantic KernelRESTGraphQLDatabricksSparkLakehouseUnity CatalogMCPRFCsLLM

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Staff Fullstack Engineer, Agentic Applications

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Mountain View

Workplace: Onsite

Job Function: Software Engineering

Key Responsibilities

•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.
•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 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.

Pay and Benefits

Salary: USD 192,000 - 260,000 annually

Equity and Bonus:Equity

Key Requirements

•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.

Experience:8+ yearsHR techPeople Tech

Skills:CommunicationProblem-solvingLeadership

Languages:English

Tech Stack:PythonLangChainLangGraphCrewAIAutoGenSemantic KernelRESTGraphQLDatabricksSparkLakehouseUnity CatalogMCPRFCsLLM

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn