{"id":1677128,"url":"https://alion.io/job/databricks-staff-fullstack-engineer-agentic-applications-2","title":"Staff Fullstack Engineer, Agentic Applications","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":842,"ghost_share":0.249,"stale_share":0,"repost_share":0.001,"time_to_fill_p50_days":79,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":192000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"GraphQL","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Spark","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-06-04T17:25:54Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-10T01:19:03Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":125},"description":"P-1477\nDatabricks 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.\nWhat you'll do\nArchitect 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).\nDefine the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.\nIntegrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces.\nSet the technical bar for the pod - reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap.\nInfluence 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.\nWhat we're looking for\n8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).\nDeep fluency in Python and experience with agentic frameworks - LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.\nStrong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically.\nExperience with data platforms - Databricks, Spark, or equivalent - and building AI applications on top of lakehouse or warehouse architectures.\nTrack record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.\nNice to have\nPrior experience in People Tech, HR tech, or internal tooling domains.\nFamiliarity with Workday, Greenhouse or similar enterprise HR platforms - especially via API or integration layer.\nExperience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts.\nPay Range Transparency\nDatabricks 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.\nLocal Pay Range\n$192,000—$260,000 USD\nAbout Databricks\nDatabricks 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.\nBenefits\n 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.\nOur Commitment to Diversity and Inclusion\nAt 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.\nCompliance\nIf 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.","description_format":"text","description_chars":5104,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Query Engines & Big Data Processing","Data Warehouses & Lakehouses","MLOps"],"lifecycle":[{"event":"open","at":"2026-10-02T08:52:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 517 · green card filings: 130","filings_12m":517,"filings_prev_12m":400,"green_card_filings_12m":130,"median_offered_wage_usd":157253,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":417}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.673,"p_room":0.36,"age_days":126,"expected_fill_days":79,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":260000,"is_top_pay":true},"html_url":"https://alion.io/job/databricks-staff-fullstack-engineer-agentic-applications-2","json_url":"https://alion.io/job/databricks-staff-fullstack-engineer-agentic-applications-2.json","meta":{"generated_at":"2026-10-10T02:21:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4307,"day_limit":5000,"remaining_today":693,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":15},"rest":"https://alion.io/mcp/rest/get_company?id=15"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatabricks-staff-fullstack-engineer-agentic-applications-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatabricks-staff-fullstack-engineer-agentic-applications-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatabricks-staff-fullstack-engineer-agentic-applications-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/databricks-staff-fullstack-engineer-agentic-applications-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatabricks-staff-fullstack-engineer-agentic-applications-2"}]}