bluedoor data·Job Postings API·bluedoor.sh ↗

Home › Companies › Create Music Group › Staff AI Engineer

Staff AI Engineer

Create Music Group · Los Angeles, CA, Hollywood, CA, United States · On Site · Active · Rippling ATS

Job facts

FieldValue
CompanyCreate Music Group
TitleStaff AI Engineer
Normalized title-
Department / teamData & AI
LocationHollywood, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerRippling ATS
Posted / first seen2026-05-22 / 2026-05-29
Changed / last seen2026-06-20 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Create Music Group.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Hollywood.Open
Department jobsActive postings in Data & AI.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCreate Music Group
Sourcef1b1cb1c-326b-4d31-9302-cc45d819ecd0
ATS providerRippling ATS

Description

company Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP’s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. role Job Summary This Staff AI Engineer role sits at the intersection of AI systems architecture and full-stack product engineering within CMG's AI & ML Engineering org. The person in this seat is the technical anchor for CreateOS's agentic AI layer — owning the design, deployment, and ongoing reliability of the LLM-powered features and agent infrastructure that run across the platform. Day-to-day, this role spans three areas: building and scaling the agent platform (orchestration, RAG pipelines, memory, routing, guardrails); shipping production AI features end-to-end from data model to UI; and serving as the primary technical voice with product, M&A, A&R, and Marketing stakeholders. Unlike a research or prototype role, the bar here is production — systems serving real users at scale, with the observability and reliability expectations of revenue-critical software. Beyond individual contribution, this engineer helps set the architectural patterns and development standards the broader AI team builds against — mentoring the ML Engineer, shaping tooling and primitives, and representing AI Engineering in cross-functional and executive forums. It's a high-autonomy seat for someone who's comfortable deciding what to build and why, not just how. The right candidate brings 6+ years of software engineering experience, at least 3 of which are hands-on with production agentic AI or LLM systems, along with deep fluency in RAG architectures, eval frameworks, and modern AI-native development practices. Responsibilities Agent Platform & LLM Systems Architect AI agents and the orchestration, tool-use, memory, and routing patterns they share — building toward a cohesive agent platform for CreateOS Design RAG pipelines, retrieval architectures, and semantic search grounded in CreateOS structured data (contracts, royalty statements, catalog metadata, deal terms) Define guardrails, evaluation, observability, and human-in-the-loop standards so agentic systems ship safely and stay measurable Drive model, prompt, and tool-use choices — including cost and latency tradeoffs at production scale Integrate frontier LLMs (OpenAI, Anthropic) and selected open-source models into user-facing features across CreateOS modules Stakeholder Partnership & Requirements Partner with product, M&A, A&R, and Marketing stakeholders to turn ambiguous business needs into well-scoped AI features Run discovery conversations with internal users to validate the problem before committing engineering investment Translate non-technical requirements into clear technical specs; surface tradeoffs (cost, latency, accuracy, scope) early and explicitly Negotiate scope, timelines, and acceptance criteria with cross-functional partners Demo work-in-progress regularly; iterate based on real user feedback rather than assumed requirements Document decisions and rationale so stakeholders stay aligned across long-running initiatives Production Engineering Ship full-stack AI-native features end-to-end — chat interfaces, copilot tools, workflow automation surfaces — from data model to UI Deploy and maintain production AI services with the reliability, observability, and performance expectations of a revenue-critical system Maintain CI/CD, testing standards, and code quality for the AI application layer Partner with Data Engineering to consume internal pipelines (dbt, Airflow), third-party feeds (DSPs, distributors), and event-driven flows into product surfaces Technical Direction & Influence Drive architecture decisions for the AI application layer in collaboration with the VP of AI & ML Engineering Help shape the patterns, primitives, and tooling the team builds against — so future hires ramp fast and ship safely Mentor the ML Engineer and future AI hires; raise the bar on code review, design docs, and eval rigor Represent AI engineering in cross-functional forums with product, data, and executive stakeholders Communicate tradeoffs clearly across engineering, product, and business audiences Qualifications 6+ years of software engineering experience with a track record of shipping production systems 3+ years hands-on building production agentic AI or LLM-powered systems — not prototypes, not demos, systems serving real users Demonstrated technical ownership of a non-trivial system or platform — you've been the person responsible for the architecture, not just the implementer Deep proficiency in a backend language (Python or Node.js) and working fluency in a modern frontend framework (React, Next.js) Strong experience with RAG systems, vector databases, and embedding-based retrieval — including design tradeoffs (chunking, hybrid search, reranking, freshness) Experience designing eval frameworks for LLM systems — output quality, hallucination detection, regression testing, offline + online eval Experience designing and documenting RESTful APIs Proficiency in relational databases (PostgreSQL); comfortable writing and optimizing SQL Solid understanding of containerization (Docker), Kubernetes, and CI/CD Proficiency with AI-native development tools (Cursor, Claude Code) Ability to operate with high autonomy and ambiguity — you decide what to build and why, not just how Pay Scale $190,000 - 210,000 / year The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role. Details Must be able to attend in person in the Hollywood office 2-3 times per week Interviews will be a combination of virtual and in-person at our Hollywood Office. Fair Chance Policy In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.

Full job record

Job ID08f2628667300fa5429308088310d55a03049263
Org ID1f572bab-6c11-456a-bb99-4aeec4d599b7
Source IDf1b1cb1c-326b-4d31-9302-cc45d819ecd0
Board IDf1b1cb1c-326b-4d31-9302-cc45d819ecd0
Providerrippling
Provider Job Key42fdd4ba-c662-4a3e-a707-7fe20376307d
TitleStaff AI Engineer
Normalized Title—
Statusactive
Activeyes
Location TextLos Angeles, CA, Hollywood, CA, United States
DepartmentData & AI
Team—
Employment Typefull_time
Workplace Typeon_site
Remote Policy—
CountryUnited States
RegionCA
CityHollywood
Salary Raw—
Salary Min—
Salary Max—
Salary Currency—
Salary Period—
Source URLhttps://ats.rippling.com/createmusicgroup/jobs/42fdd4ba-c662-4a3e-a707-7fe20376307d
Apply URLhttps://ats.rippling.com/createmusicgroup/jobs/42fdd4ba-c662-4a3e-a707-7fe20376307d
First Seen At2026-05-29 07:16:32Z
Last Seen At2026-06-20 09:37:33Z
Last Checked At2026-06-20 09:37:33Z
Last Changed At2026-06-20 09:37:33Z
Inactive At—
Source Posted At2026-05-22 01:21:25Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=createmusicgroup/date=2026-06-20/2026-06-20T09-37-31-842Z-6b9aed9d6a99aead7c3d3cee5bee44da710b0ee23faab1b69ca3701165cfa818.json
Event Fields
{
  "content_hash": "789611b61f46a08f99de379e989c945c63896f12472d6f0e8499f54fe834eca3",
  "source_hash": "fef3af75cdc90b26d79cb936b30d53a1abc4cffd4de93bd8641733090256c6fd",
  "last_changed_at": "2026-06-20T09:37:33.251Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en-us",
  "location": {
    "raw": "Los Angeles, CA, Hollywood, CA, United States",
    "city": "Hollywood",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.98,
    "workplace_type": "on_site"
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-20T09:37:33.220Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en-us",
    "location": {
      "raw": "Los Angeles, CA, Hollywood, CA, United States",
      "city": "Hollywood",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.98,
      "workplace_type": "on_site"
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "list_job": {
    "id": "42fdd4ba-c662-4a3e-a707-7fe20376307d",
    "url": "https://ats.rippling.com/createmusicgroup/jobs/42fdd4ba-c662-4a3e-a707-7fe20376307d",
    "name": "Staff AI Engineer",
    "language": "en-US",
    "locations": [
      {
        "city": "Hollywood",
        "name": "Los Angeles, CA",
        "state": "CA",
        "country": "United States",
        "stateCode": null,
        "countryCode": "US",
        "workplaceType": "ON_SITE"
      }
    ],
    "department": {
      "name": "Data & AI"
    }
  },
  "detail_job": {
    "url": "https://ats.rippling.com/createmusicgroup/jobs/42fdd4ba-c662-4a3e-a707-7fe20376307d",
    "name": "Staff AI Engineer",
    "uuid": "42fdd4ba-c662-4a3e-a707-7fe20376307d",
    "board": {
      "logo": {
        "url": "https://prod-images.rippling.com/8edc853f3ab3686cc80bfb1c0fa4dab066e1e61c.png?Expires=1782034652&Signature=Jp8~Ext-df7e-b5MFJNTkGxIwFIVV67sZ~cjCZU2isKcI8Z~XpnBcxQT-yHus6C05nRqy6KrIy~laOUmV7BH1RIA5NNUf4Z2JBWlHgcZoy7PfGgSpGUYZusRig-x-4XLISKJ4jX~qBTgIpiVxeoC7q36dJlv1N5Z2z87FRvnB50Mn~Hg1tiahsABYiEA7Ofo1uW4QfS~bkP40pRF7VaY01NlWSWqmMA4c-kGVTu-JyVgPOGogLsXKP6GnuSTT7vl-VR3xxqTSQqe8oRh3QlGWyYszF5Hw3EeUWQsoU5MwYrgZ9nhFd2Ytxul8Naz3RuwAWqpJBvS3PbGAcwllc~D8w__&Key-Pair-Id=K2Y26R2ZPP26PH",
        "name": "cmg_stacked_gradient-black.png",
        "type": "image/png"
      },
      "slug": "createmusicgroup",
      "title": "Careers",
      "banner": {
        "url": null,
        "name": "",
        "type": ""
      },
      "boardURL": "https://ats.rippling.com/createmusicgroup/jobs",
      "fontType": "ARIAL_SANS_SERIF",
      "subtitle": null,
      "boardType": "RIPPLING",
      "linkColor": "#e00083",
      "buttonColor": "#33c2ff",
      "legalNotice": null,
      "buttonTextColor": "#ffffff",
      "noOpeningsMessage": null,
      "groupJobsByLocation": false,
      "showBoardLogoOnJobPost": false,
      "showCompanyInfoUnderJobPost": false
    },
    "createdOn": "2026-05-21T18:21:25.813000-07:00",
    "department": {
      "name": "Data & AI",
      "base_department": "Data & AI",
      "department_tree": [
        "Data & AI"
      ]
    },
    "companyName": "Create Music Group",
    "description": {
      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Job Summary</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">This Staff AI Engineer role sits at the intersection of AI systems architecture and full-stack product engineering within CMG's AI &amp; ML Engineering org. The person in this seat is the technical anchor for CreateOS's agentic AI layer — owning the design, deployment, and ongoing reliability of the LLM-powered features and agent infrastructure that run across the platform.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Day-to-day, this role spans three areas: building and scaling the agent platform (orchestration, RAG pipelines, memory, routing, guardrails); shipping production AI features end-to-end from data model to UI; and serving as the primary technical voice with product, M&amp;A, A&amp;R, and Marketing stakeholders. Unlike a research or prototype role, the bar here is production — systems serving real users at scale, with the observability and reliability expectations of revenue-critical software.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Beyond individual contribution, this engineer helps set the architectural patterns and development standards the broader AI team builds against — mentoring the ML Engineer, shaping tooling and primitives, and representing AI Engineering in cross-functional and executive forums. It's a high-autonomy seat for someone who's comfortable deciding what to build and why, not just how.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">The right candidate brings 6+ years of software engineering experience, at least 3 of which are hands-on with production agentic AI or LLM systems, along with deep fluency in RAG architectures, eval frameworks, and modern AI-native development practices.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Responsibilities</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Agent Platform &amp; LLM Systems</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Architect AI agents and the orchestration, tool-use, memory, and routing patterns they share — building toward a cohesive agent platform for CreateOS</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Design RAG pipelines, retrieval architectures, and semantic search grounded in CreateOS structured data (contracts, royalty statements, catalog metadata, deal terms)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Define guardrails, evaluation, observability, and human-in-the-loop standards so agentic systems ship safely and stay measurable</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Drive model, prompt, and tool-use choices — including cost and latency tradeoffs at production scale</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Integrate frontier LLMs (OpenAI, Anthropic) and selected open-source models into user-facing features across CreateOS modules</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Stakeholder Partnership &amp; Requirements</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Partner with product, M&amp;A, A&amp;R, and Marketing stakeholders to turn ambiguous business needs into well-scoped AI features</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Run discovery conversations with internal users to validate the problem before committing engineering investment</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Translate non-technical requirements into clear technical specs; surface tradeoffs (cost, latency, accuracy, scope) early and explicitly</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Negotiate scope, timelines, and acceptance criteria with cross-functional partners</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Demo work-in-progress regularly; iterate based on real user feedback rather than assumed requirements</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Document decisions and rationale so stakeholders stay aligned across long-running initiatives</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Production Engineering</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ship full-stack AI-native features end-to-end — chat interfaces, copilot tools, workflow automation surfaces — from data model to UI</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Deploy and maintain production AI services with the reliability, observability, and performance expectations of a revenue-critical system</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Maintain CI/CD, testing standards, and code quality for the AI application layer</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Partner with Data Engineering to consume internal pipelines (dbt, Airflow), third-party feeds (DSPs, distributors), and event-driven flows into product surfaces</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Technical Direction &amp; Influence</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Drive architecture decisions for the AI application layer in collaboration with the VP of AI &amp; ML Engineering</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Help shape the patterns, primitives, and tooling the team builds against — so future hires ramp fast and ship safely</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Mentor the ML Engineer and future AI hires; raise the bar on code review, design docs, and eval rigor</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Represent AI engineering in cross-functional forums with product, data, and executive stakeholders</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Communicate tradeoffs clearly across engineering, product, and business audiences</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Qualifications&nbsp;</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">6+ years of software engineering experience with a track record of shipping production systems</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3+ years hands-on building production agentic AI or LLM-powered systems — not prototypes, not demos, systems serving real users</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Demonstrated technical ownership of a non-trivial system or platform — you've been the person responsible for the architecture, not just the implementer</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Deep proficiency in a backend language (Python or Node.js) and working fluency in a modern frontend framework (React, Next.js)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Strong experience with RAG systems, vector databases, and embedding-based retrieval — including design tradeoffs (chunking, hybrid search, reranking, freshness)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience designing eval frameworks for LLM systems — output quality, hallucination detection, regression testing, offline + online eval</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience designing and documenting RESTful APIs</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Proficiency in relational databases (PostgreSQL); comfortable writing and optimizing SQL</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Solid understanding of containerization (Docker), Kubernetes, and CI/CD</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Proficiency with AI-native development tools (Cursor, Claude Code)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ability to operate with high autonomy and ambiguity — you decide what to build and why, not just how</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Pay Scale</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">$190,000 - 210,000 / year</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role.</span><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Details </strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Must be able to attend in person in the Hollywood office 2-3 times per week</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Interviews will be a combination of virtual and in-person at our Hollywood Office. </span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Fair Chance Policy</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:13pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:start;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP’s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z,&nbsp; which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide.</span></p>"
    },
    "workLocations": [
      "Los Angeles, CA"
    ],
    "employmentType": {
      "id": "Salaried, full-time",
      "label": "SALARIED_FT"
    },
    "payRangeDetails": [],
    "activeJobApplication": {
      "basicQuestions": [
        {
          "oid": "first_name",
          "title": "First name",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "last_name",
          "title": "Last name",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "email",
          "title": "Email",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "pronouns",
          "title": "Pronouns",
          "required": false,
          "fieldType": "PRONOUN"
        },
        {
          "oid": "current_company",
          "title": "Current company",
          "required": false,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "phone_number",
          "title": "Phone number",
          "required": true,
          "fieldType": "PHONE_NUMBER"
        },
        {
          "oid": "location",
          "title": "Location (city only)",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "linkedin_link",
          "title": "LinkedIn link",
          "required": true,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "website_link",
          "title": "Website link",
          "required": false,
          "fieldType": "SHORT_ANSWER"
        },
        {
          "oid": "resume",
          "title": "Resume",
          "required": true,
          "fieldType": "FILE"
        },
        {
          "oid": "cover_letter",
          "title": "Cover letter",
          "required": false,
          "fieldType": "FILE"
        }
      ],
      "customQuestions": {
        "fields": [
          {
            "oid": "first_name",
            "title": "First name",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "last_name",
            "title": "Last name",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "email",
            "title": "Email",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "pronouns",
            "title": "Pronouns",
            "required": false,
            "fieldData": {},
            "fieldType": "PRONOUN"
          },
          {
            "oid": "current_company",
            "title": "Current company",
            "required": false,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "phone_number",
            "title": "Phone number",
            "required": true,
            "fieldData": {},
            "fieldType": "PHONE_NUMBER"
          },
          {
            "oid": "location",
            "title": "Location (city only)",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "linkedin_link",
            "title": "LinkedIn link",
            "required": true,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "website_link",
            "title": "Website link",
            "required": false,
            "fieldData": {},
            "fieldType": "SHORT_ANSWER"
          },
          {
            "oid": "resume",
            "title": "Resume",
            "required": true,
            "fieldData": {},
            "fieldType": "FILE"
          },
          {
            "oid": "cover_letter",
            "title": "Cover letter",
            "required": false,
            "fieldData": {},
            "fieldType": "FILE"
          }
        ]
      },
      "additionalQuestions": [
        {
          "id": "6a0fb02ebf8dc605bf44988c",
          "form": {
            "sections": [],
            "questions": [
              {
                "tags": [],
                "title": "Are you eligible to work in the United States?",
                "canEdit": false,
                "dataType": "select",
                "isPrivate": false,
                "uniqueKey": "06c7961b-aeaf-4e2b-889d-8394d3bcec7e",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [
                  "Yes",
                  "No"
                ],
                "description": "",
                "questionType": "KNOCKOUT",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              },
              {
                "tags": [],
                "title": "Compensation expectations ",
                "canEdit": false,
                "dataType": "Text",
                "maxChars": 14,
                "maxLabel": "",
                "minLabel": "",
                "isPrivate": false,
                "uniqueKey": "b8156341-4685-4c33-80ad-ca1b09eb0bde",
                "intChoices": [],
                "isRequired": true,
                "strChoices": [],
                "questionType": "SHORT_ANSWER",
                "allowComments": false,
                "isOtherEnabled": false,
                "isMultiSelectEnabled": true
              }
            ],
            "skipLogic": [],
            "deletedSections": [],
            "deletedQuestions": []
          },
          "name": "Standard US"
        }
      ]
    },
    "hasAIEvaluationsEnabled": false,
    "eeocQuestionnaireEnabled": true,
    "applicationConfirmationTemplate": "64cc14d84999e66062a8452b",
    "eeocQuestionnaireEnabledForJobPost": true
  },
  "detail_meta": {
    "url": "https://ats.rippling.com/api/v2/board/createmusicgroup/jobs/42fdd4ba-c662-4a3e-a707-7fe20376307d",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 23907
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/08f2628667300fa5429308088310d55a03049263?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/1f572bab-6c11-456a-bb99-4aeec4d599b7JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/f1b1cb1c-326b-4d31-9302-cc45d819ecd0JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/08f2628667300fa5429308088310d55a03049263/eventsJSON

Docs · Get an API key