> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Staff Fullstack Engineer, Agentic Applications

Canonical URL: https://nextmove.md/fde/jobs/9a39079ea2904fe9

Databricks posts a staff FDE role to build for teams inside the company in Mountain View, CA, at $192,000–$260,000 base, level with the staff+ FDE median of $225,000 across 388 postings with pay. Staff Fullstack Engineer serving as the technical anchor for Databricks' People Technology pod, architecting an AI-native platform for HR, recruiting, workforce analytics, and employee experience. Read from the employer’s posting on November 8, 2026.

- [Databricks](https://nextmove.md/fde/companies/databricks)

Posted Jun 4, 2026 by Databricks · open on Greenhouse as of Nov 8, 2026

**$192,000–$260,000** + equity Mountain View, CA Full-time

Staff Fullstack Engineer serving as the technical anchor for Databricks' People Technology pod, architecting an AI-native platform for HR, recruiting, workforce analytics, and employee experience.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F9a39079ea2904fe9&placement=top)
- [View posting at Databricks](https://databricks.com/company/careers/open-positions/job?gh_jid=8220840002)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$192K–$260K Level with the median

Midpoint $226K · median $225K

This job $192K to $260K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

[Compare pay across all Databricks postings](https://nextmove.md/fde/salary/databricks)

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Staff+

- **Role**: Technical lead

### What they ask for

Experience

- **8+ years** software engineering
- **2+ years** building production LLM or agentic applications

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a staff-level role. What level are you at now?

The job is in Mountain View, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Mountain View, CA

- **Employment type**: Full-time

- **Pay**:

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## The job description from Databricks

Posted by Databricks on Jun 4, 2026

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.

Local Pay Range

$192,000—$260,000 USD

### About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

**Benefits
**

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

### Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

### Compliance

**If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.**

[View posting at Databricks](https://databricks.com/company/careers/open-positions/job?gh_jid=8220840002)

## About Databricks

Unified Data + AI Platform that runs analytical and operational workloads on an open, governed foundation for data engineering, BI, analytics, machine learning, and enterprise AI applications.

Late-stage private · 5000+ people

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- [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff)
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