Staff Fullstack Engineer, Agentic Applications
Join Databricks as a Staff Fullstack Engineer to architect agentic systems for People Technology using cutting-edge AI frameworks.
Posted by employer 4 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 23 hours ago
Skills & Technologies
Role intensity
40% coding
AI in the day-to-day
You'll architect and build agentic systems that automate and augment People Tech workflows using LLM orchestration frameworks.
Requirements
- Experience
- 8+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Staff Fullstack Engineer will lead the development of advanced agentic systems that enhance various People Tech workflows, such as onboarding and HR service delivery. Proficiency in Python and experience with agentic frameworks like LangChain or AutoGen are essential, alongside a strong grasp of enterprise integration patterns and data platforms like Databricks. This position is ideal for seasoned engineers with a track record of technical leadership and a passion for AI-driven solutions in HR technology. The team is focused on pioneering innovative approaches within a rapidly evolving company.
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze June 18, 2026. Last confirmed on Databricks's careers page October 7, 2026.
- This exact title is also open at 1 other location at Databricks: Mountain View, California.
- Salary band is above the typical range for Fullstack roles (median ~$165,000).
- Starts above 19% of 21 comparable staff fullstack roles in United States that list Python we track (median $228,000 across 16 companies). See Python salary trends
- Python appears in 34.7% of 75 comparable staff fullstack roles in United States; Databricks appears in 1.3% of 75 comparable staff fullstack roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $192,000–$260,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Staff Fullstack Engineer, Agentic Applications role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AutoGen, CrewAI, Databricks, GraphQL, LangChain, LangGraph.
- What seniority level is this role?
- Databricks targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Fullstack Engineer, Agentic Applications role at Databricks.
From the original posting
P-1477
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 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.