bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2Agentic AI Engineer

Agentic AI Engineer

Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 · United States; Exl - Texas · On Site · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
TitleAgentic AI Engineer
Normalized title-
Department / teamAdvanced AI & ML
LocationUnited States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-04-28 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Advanced AI & ML.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

CompanyFa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2
Source907773df-d032-42dc-b60a-978734f5ac21
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description We are seeking a Lead Agentic AI Engineer with a strong software engineering foundation to design, build, and scale autonomous and semi‑autonomous AI systems . This role goes beyond prompt engineering or isolated models—you will architect multi‑agent systems that plan, reason, call tools, interact with enterprise systems, and operate safely at scale. You will work on agent orchestration, RAG pipelines, tool‑calling, memory, observability, and AgentOps , while ensuring production readiness, compliance, and reliability. Responsibilities Agentic AI System Design Design and implement multi‑agent architectures including: Orchestrator / supervisor agents Task‑specialized agents (research, extraction, validation, decisioning) Reflection, critique, and self‑correction loops Build goal‑driven agent workflows with constrained autonomy and human‑in‑the‑loop patterns. Define agent boundaries, decision policies, and escalation logic. LLM, RAG & Tooling Build enterprise‑grade RAG systems : Ingestion, chunking, metadata enrichment Vector indexing and retrieval strategies Grounded generation and citation control Implement tool‑calling agents that interact with: APIs, databases, search systems Internal platforms and workflows Optimize latency, cost, and accuracy across LLM interactions. Production Engineering & AgentOps Build agentic systems as scalable backend services (FastAPI / REST / async services). Apply strong software engineering discipline : Modular code, clean abstractions, testability CI/CD, versioning of prompts, tools, and agents Implement AgentOps / LLMOps , including: Evaluation harnesses (prompt, retrieval, agent behavior) Observability (traces, metrics, decision paths) Rollback and controlled rollout strategies Ensure robustness against hallucinations, loops, tool failures, and unsafe actions. Governance, Safety & Reliability Implement guardrails, policies, and monitoring for agent behavior. Design systems with traceability, auditability, and explainability . Ensure secure handling of sensitive data (PII/PHI where applicable). Enforce responsible‑AI principles in autonomous systems. Technical Leadership Lead design reviews and mentor junior engineers. Influence platform standards for agentic AI across teams. Partner with product managers, architects, and domain SMEs to translate workflows into agent behavior. Qualifications Strong Software Engineering Background (Must Have) 8–10 years of experience with backend/software engineering Expert in Python (primary) and API‑based services Experience with distributed systems, microservices, async processing Strong understanding of system design, scalability, and performance Agentic AI & GenAI Expertise Proven experience building agentic AI systems (not just chatbots) Hands‑on with agent frameworks (e.g., LangChain / LangGraph / equivalent) Strong understanding of: Tool‑calling, planning, reflection Memory, state, and long‑running agents Experience working with LLMs (cloud and/or open‑source) RAG & Data Engineering Production experience with vector databases Knowledge of embeddings, retrieval strategies, reranking Comfortable with structured + unstructured enterprise data Platform & Ops Docker, CI/CD, cloud deployments (AWS / Azure / GCP) Experience with monitoring, logging, and production debugging Familiarity with MLflow or similar experiment tracking tools Nice to Have Experience in healthcare, insurance, or regulated domains Exposure to AI governance, compliance, or risk frameworks Built internal AI platforms or reusable accelerators Prior experience tech‑leading enterprise AI initiatives

Full job record

Job ID9d81ae7ea7c4a7e39cf676f33456a629451e8664
Org ID3ea3b397-9a23-408a-8421-50fd1d902746
Source ID907773df-d032-42dc-b60a-978734f5ac21
Board ID907773df-d032-42dc-b60a-978734f5ac21
Provideroracle_hcm
Provider Job Key12729
TitleAgentic AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextUnited States; Exl - Texas
DepartmentAdvanced AI & ML
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
Region
City
Salary RawDescription We are seeking a Lead Agentic AI Engineer with a strong software engineering foundation to design, build, and scale autonomous and semi‑autonomous AI systems . This role goes beyond prompt engineering or isolated models—you will architect multi‑agent systems that plan, reason, call tools, interact with enterprise systems, and operate safely at scale. You will work on agent orchestration, RAG pipelines, tool‑calling, memory, observability, and AgentOps , while ensuring production readiness, compliance, and reliability. Responsibilities Agentic AI System Design Design and implement multi‑agent architectures including: Orchestrator / supervisor agents Task‑specialized agents (research, extraction, validation, decisioning) Reflection, critique, and self‑correction loops Build goal‑driven agent workflows with constrained autonomy and human‑in‑the‑loop patterns. Define agent boundaries, decision policies, and escalation logic. LLM, RAG & Tooling Build enterprise‑grade RAG systems : Ingestion, chunking, metadata enrichment Vector indexing and retrieval strategies Grounded generation and citation control Implement tool‑calling agents that interact with: APIs, databases, search systems Internal platforms and workflows Optimize latency, cost, and accuracy across LLM interactions. Production Engineering & AgentOps Build agentic systems as scalable backend services (FastAPI / REST / async services). Apply strong software engineering discipline : Modular code, clean abstractions, testability CI/CD, versioning of prompts, tools, and agents Implement AgentOps / LLMOps , including: Evaluation harnesses (prompt, retrieval, agent behavior) Observability (traces, metrics, decision paths) Rollback and controlled rollout strategies Ensure robustness against hallucinations, loops, tool failures, and unsafe actions. Governance, Safety & Reliability Implement guardrails, policies, and monitoring for agent behavior. Design systems with traceability, auditability, and explainability . Ensure secure handling of sensitive data (PII/PHI where applicable). Enforce responsible‑AI principles in autonomous systems. Technical Leadership Lead design reviews and mentor junior engineers. Influence platform standards for agentic AI across teams. Partner with product managers, architects, and domain SMEs to translate workflows into agent behavior. Qualifications Strong Software Engineering Background (Must Have) 8–10 years of experience with backend/software engineering Expert in Python (primary) and API‑based services Experience with distributed systems, microservices, async processing Strong understanding of system design, scalability, and performance Agentic AI & GenAI Expertise Proven experience building agentic AI systems (not just chatbots) Hands‑on with agent frameworks (e.g., LangChain / LangGraph / equivalent) Strong understanding of: Tool‑calling, planning, reflection Memory, state, and long‑running agents Experience working with LLMs (cloud and/or open‑source) RAG & Data Engineering Production experience with vector databases Knowledge of embeddings, retrieval strategies, reranking Comfortable with structured + unstructured enterprise data Platform & Ops Docker, CI/CD, cloud deployments (AWS / Azure / GCP) Experience with monitoring, logging, and production debugging Familiarity with MLflow or similar experiment tracking tools Nice to Have Experience in healthcare, insurance, or regulated domains Exposure to AI governance, compliance, or risk frameworks Built internal AI platforms or reusable accelerators Prior experience tech‑leading enterprise AI initiatives
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12729
Apply URLhttps://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12729
First Seen At2026-05-31 18:05:11Z
Last Seen At2026-06-06 11:44:11Z
Last Checked At2026-06-06 11:44:11Z
Last Changed At2026-05-31 18:05:11Z
Inactive At
Source Posted At2026-04-28 23:38:40Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com|cx_2/date=2026-06-06/2026-06-06T11-42-28-116Z-9f6f0c60410cbd3bee6b0a060a8e65cb535d3b1d1066f0984f31827798e22ea6.json
Event Fields
{
  "content_hash": "bdfadb76d86be1a69ba2076befdc1368d93f82560336f24ec89fe852b48f3380",
  "source_hash": "f8b131f82282a0ed9a8a8dfbe7ad998c76cfdb2b6daf4d884de3e4f83bd266b7",
  "last_changed_at": "2026-05-31T18:05:11.594Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T11:44:11.501Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "detail": {
    "Id": "12729",
    "Title": "Agentic AI Engineer",
    "media": [],
    "skills": [
      {
        "Skill": "Cloud Data Warehousing",
        "SectionName": "Skill"
      },
      {
        "Skill": "Conflict Management",
        "SectionName": "Skill"
      },
      {
        "Skill": "Displaying Visionary Thinking",
        "SectionName": "Skill"
      },
      {
        "Skill": "Emotional Intelligence Training",
        "SectionName": "Skill"
      },
      {
        "Skill": "Enterprise Data Standards",
        "SectionName": "Skill"
      },
      {
        "Skill": "Governance Tools",
        "SectionName": "Skill"
      },
      {
        "Skill": "Leadership Capabilities",
        "SectionName": "Skill"
      },
      {
        "Skill": "SQL Analysis",
        "SectionName": "Skill"
      },
      {
        "Skill": "Strategic Growth",
        "SectionName": "Skill"
      },
      {
        "Skill": "Strategic Planning",
        "SectionName": "Skill"
      }
    ],
    "JobType": null,
    "Category": "Advanced AI & ML",
    "JobGrade": null,
    "JobLevel": null,
    "JobShift": null,
    "WorkDays": null,
    "WorkHours": null,
    "WorkYears": null,
    "Department": null,
    "HotJobFlag": false,
    "StudyLevel": "Bachelor's Degree",
    "WorkMonths": null,
    "WorkerType": null,
    "GeographyId": 300000000467584,
    "JobFamilyId": 300001172135000,
    "JobFunction": "AI Product & Systems Engineering",
    "JobSchedule": "Full time",
    "BusinessUnit": null,
    "ContractType": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": null,
        "Region1": null,
        "Region2": null,
        "Region3": null,
        "Building": null,
        "Latitude": "29.39299",
        "Longitude": "-94.92508",
        "LocationId": 300000002980610,
        "PostalCode": null,
        "TownOrCity": null,
        "AddressLine1": null,
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "Exl - Texas"
      }
    ],
    "ContentLocale": "en",
    "HiringManager": null,
    "LegalEmployer": null,
    "RequisitionId": 300002993172039,
    "WorkplaceType": "Work From Office",
    "BusinessUnitId": 300000002965433,
    "OrganizationId": 300000002988873,
    "GeographyNodeId": 300001186829838,
    "JobFunctionCode": "EXL_JFN_2000818629",
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "United States",
    "RequisitionType": "Professional",
    "NumberOfOpenings": null,
    "WorkplaceTypeCode": "ORA_ON_SITE",
    "BeFirstToApplyFlag": false,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ExternalContactName": null,
    "ShortDescriptionStr": "Location- Dallas, TX\nSalary- Up to $175k plus bonus \nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\n\nEXL is hiring a SAVP working as Agentic AI Lead with software and AI experience",
    "ExternalContactEmail": null,
    "ExternalPostedEndDate": null,
    "OtherRequisitionTitle": null,
    "requisitionFlexFields": [],
    "ApplyWhenNotPostedFlag": false,
    "DomesticTravelRequired": null,
    "ExternalDescriptionStr": "<div style=\"font-style:normal;font-weight:400\">\n <p>We are seeking a <strong>Lead Agentic AI Engineer</strong> with a strong <strong>software engineering foundation</strong> to design, build, and scale <strong>autonomous and semi‑autonomous AI systems</strong>. This role goes beyond prompt engineering or isolated models—you will architect <strong>multi‑agent systems</strong> that plan, reason, call tools, interact with enterprise systems, and operate safely at scale.</p>\n <p>You will work on <strong>agent orchestration, RAG pipelines, tool‑calling, memory, observability, and AgentOps</strong>, while ensuring production readiness, compliance, and reliability.</p>\n</div>",
    "ObjectVerNumberProfile": "1",
    "PrimaryLocationCountry": "US",
    "CorporateDescriptionStr": "",
    "ExternalPostedStartDate": "2026-04-28T23:38:40+00:00",
    "ExternalQualificationsStr": "<div style=\"font-style:normal;font-weight:400\"><p>Strong Software Engineering Background (Must Have)</p><ul><li>8–10 years of experience with <strong>backend/software engineering</strong></li><li>Expert in <strong>Python</strong> (primary) and API‑based services</li><li>Experience with <strong>distributed systems, microservices, async processing</strong></li><li>Strong understanding of system design, scalability, and performance</li></ul><p>Agentic AI &amp; GenAI Expertise</p><ul><li>Proven experience building <strong>agentic AI systems</strong> (not just chatbots)</li><li>Hands‑on with <strong>agent frameworks</strong> (e.g., LangChain / LangGraph / equivalent)</li><li>Strong understanding of:<ul><li>Tool‑calling, planning, reflection</li><li>Memory, state, and long‑running agents</li></ul></li><li>Experience working with <strong>LLMs</strong> (cloud and/or open‑source)</li></ul><p>RAG &amp; Data Engineering</p><ul><li>Production experience with <strong>vector databases</strong></li><li>Knowledge of embeddings, retrieval strategies, reranking</li><li>Comfortable with structured + unstructured enterprise data</li></ul><p>Platform &amp; Ops</p><ul><li>Docker, CI/CD, cloud deployments (AWS / Azure / GCP)</li><li>Experience with monitoring, logging, and production debugging</li><li>Familiarity with MLflow or similar experiment tracking tools</li></ul><p>Nice to Have</p><ul><li>Experience in <strong>healthcare, insurance, or regulated domains</strong></li><li>Exposure to <strong>AI governance, compliance, or risk frameworks</strong></li><li>Built internal AI platforms or reusable accelerators</li><li>Prior experience tech‑leading enterprise AI initiatives</li></ul></div>",
    "InternalQualificationsStr": "<div style=\"font-style:normal;font-weight:400\"><p>Strong Software Engineering Background (Must Have)</p><ul><li>8–10 years of experience with <strong>backend/software engineering</strong></li><li>Expert in <strong>Python</strong> (primary) and API‑based services</li><li>Experience with <strong>distributed systems, microservices, async processing</strong></li><li>Strong understanding of system design, scalability, and performance</li></ul><p>Agentic AI &amp; GenAI Expertise</p><ul><li>Proven experience building <strong>agentic AI systems</strong> (not just chatbots)</li><li>Hands‑on with <strong>agent frameworks</strong> (e.g., LangChain / LangGraph / equivalent)</li><li>Strong understanding of:<ul><li>Tool‑calling, planning, reflection</li><li>Memory, state, and long‑running agents</li></ul></li><li>Experience working with <strong>LLMs</strong> (cloud and/or open‑source)</li></ul><p>RAG &amp; Data Engineering</p><ul><li>Production experience with <strong>vector databases</strong></li><li>Knowledge of embeddings, retrieval strategies, reranking</li><li>Comfortable with structured + unstructured enterprise data</li></ul><p>Platform &amp; Ops</p><ul><li>Docker, CI/CD, cloud deployments (AWS / Azure / GCP)</li><li>Experience with monitoring, logging, and production debugging</li><li>Familiarity with MLflow or similar experiment tracking tools</li></ul><p>Nice to Have</p><ul><li>Experience in <strong>healthcare, insurance, or regulated domains</strong></li><li>Exposure to <strong>AI governance, compliance, or risk frameworks</strong></li><li>Built internal AI platforms or reusable accelerators</li><li>Prior experience tech‑leading enterprise AI initiatives</li></ul></div>",
    "OrganizationDescriptionStr": "",
    "primaryLocationCoordinates": [
      {
        "Latitude": "39.82844",
        "Longitude": "-98.57939",
        "CountryCode": "US",
        "GeographyId": 300000000467584,
        "GeographyNodeId": 300001186829838
      }
    ],
    "ExternalResponsibilitiesStr": "<div style=\"font-style:normal;font-weight:400\"><p>Agentic AI System Design</p><ul><li>Design and implement <strong>multi‑agent architectures</strong> including:<ul><li>Orchestrator / supervisor agents</li><li>Task‑specialized agents (research, extraction, validation, decisioning)</li><li>Reflection, critique, and self‑correction loops</li></ul></li><li>Build <strong>goal‑driven agent workflows</strong> with constrained autonomy and human‑in‑the‑loop patterns.</li><li>Define agent boundaries, decision policies, and escalation logic.</li></ul><p>LLM, RAG &amp; Tooling</p><ul><li>Build <strong>enterprise‑grade RAG systems</strong>:<ul><li>Ingestion, chunking, metadata enrichment</li><li>Vector indexing and retrieval strategies</li><li>Grounded generation and citation control</li></ul></li><li>Implement <strong>tool‑calling agents</strong> that interact with:<ul><li>APIs, databases, search systems</li><li>Internal platforms and workflows</li></ul></li><li>Optimize latency, cost, and accuracy across LLM interactions.</li></ul><p>Production Engineering &amp; AgentOps</p><ul><li>Build agentic systems as <strong>scalable backend services</strong> (FastAPI / REST / async services).</li><li>Apply strong <strong>software engineering discipline</strong>:<ul><li>Modular code, clean abstractions, testability</li><li>CI/CD, versioning of prompts, tools, and agents</li></ul></li><li>Implement <strong>AgentOps / LLMOps</strong>, including:<ul><li>Evaluation harnesses (prompt, retrieval, agent behavior)</li><li>Observability (traces, metrics, decision paths)</li><li>Rollback and controlled rollout strategies</li></ul></li><li>Ensure robustness against hallucinations, loops, tool failures, and unsafe actions.</li></ul><p>Governance, Safety &amp; Reliability</p><ul><li>Implement <strong>guardrails, policies, and monitoring</strong> for agent behavior.</li><li>Design systems with <strong>traceability, auditability, and explainability</strong>.</li><li>Ensure secure handling of sensitive data (PII/PHI where applicable).</li><li>Enforce responsible‑AI principles in autonomous systems.</li></ul><p>Technical Leadership</p><ul><li>Lead design reviews and mentor junior engineers.</li><li>Influence platform standards for agentic AI across teams.</li><li>Partner with product managers, architects, and domain SMEs to translate workflows into agent behavior.</li></ul></div>",
    "InternalResponsibilitiesStr": "<div style=\"font-style:normal;font-weight:400\"><p>Agentic AI System Design</p><ul><li>Design and implement <strong>multi‑agent architectures</strong> including:<ul><li>Orchestrator / supervisor agents</li><li>Task‑specialized agents (research, extraction, validation, decisioning)</li><li>Reflection, critique, and self‑correction loops</li></ul></li><li>Build <strong>goal‑driven agent workflows</strong> with constrained autonomy and human‑in‑the‑loop patterns.</li><li>Define agent boundaries, decision policies, and escalation logic.</li></ul><p>LLM, RAG &amp; Tooling</p><ul><li>Build <strong>enterprise‑grade RAG systems</strong>:<ul><li>Ingestion, chunking, metadata enrichment</li><li>Vector indexing and retrieval strategies</li><li>Grounded generation and citation control</li></ul></li><li>Implement <strong>tool‑calling agents</strong> that interact with:<ul><li>APIs, databases, search systems</li><li>Internal platforms and workflows</li></ul></li><li>Optimize latency, cost, and accuracy across LLM interactions.</li></ul><p>Production Engineering &amp; AgentOps</p><ul><li>Build agentic systems as <strong>scalable backend services</strong> (FastAPI / REST / async services).</li><li>Apply strong <strong>software engineering discipline</strong>:<ul><li>Modular code, clean abstractions, testability</li><li>CI/CD, versioning of prompts, tools, and agents</li></ul></li><li>Implement <strong>AgentOps / LLMOps</strong>, including:<ul><li>Evaluation harnesses (prompt, retrieval, agent behavior)</li><li>Observability (traces, metrics, decision paths)</li><li>Rollback and controlled rollout strategies</li></ul></li><li>Ensure robustness against hallucinations, loops, tool failures, and unsafe actions.</li></ul><p>Governance, Safety &amp; Reliability</p><ul><li>Implement <strong>guardrails, policies, and monitoring</strong> for agent behavior.</li><li>Design systems with <strong>traceability, auditability, and explainability</strong>.</li><li>Ensure secure handling of sensitive data (PII/PHI where applicable).</li><li>Enforce responsible‑AI principles in autonomous systems.</li></ul><p>Technical Leadership</p><ul><li>Lead design reviews and mentor junior engineers.</li><li>Influence platform standards for agentic AI across teams.</li><li>Partner with product managers, architects, and domain SMEs to translate workflows into agent behavior.</li></ul></div>",
    "InternationalTravelRequired": null
  },
  "list_job": {
    "Id": "12729",
    "Title": "Agentic AI Engineer",
    "JobType": null,
    "Distance": 1777334400000,
    "JobShift": null,
    "Language": "US",
    "WorkDays": null,
    "JobFamily": null,
    "Relevancy": 2,
    "WorkHours": null,
    "Department": null,
    "HotJobFlag": false,
    "PostedDate": "2026-04-28",
    "StudyLevel": null,
    "WorkerType": null,
    "GeographyId": 300000000467584,
    "JobFunction": null,
    "JobSchedule": null,
    "BusinessUnit": null,
    "ContractType": null,
    "ManagerLevel": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": null,
        "Region1": null,
        "Region2": null,
        "Region3": null,
        "Building": null,
        "Latitude": 29.39299,
        "Longitude": -94.92508,
        "LocationId": 300000002980610,
        "PostalCode": null,
        "TownOrCity": null,
        "AddressLine1": null,
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "Exl - Texas"
      }
    ],
    "LegalEmployer": null,
    "MediaThumbURL": null,
    "WorkplaceType": "Work From Office",
    "BusinessUnitId": 300000002965433,
    "OrganizationId": 300000002988873,
    "PostingEndDate": null,
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": "ORA_ON_SITE",
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ShortDescriptionStr": "Location- Dallas, TX\nSalary- Up to $175k plus bonus \nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\n\nEXL is hiring a SAVP working as Agentic AI Lead with software and AI experience",
    "requisitionFlexFields": [],
    "DomesticTravelRequired": null,
    "PrimaryLocationCountry": "US",
    "ExternalQualificationsStr": null,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "detail_meta": {
    "url": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2212729%22,siteNumber=cx_2",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 13073
  },
  "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/9d81ae7ea7c4a7e39cf676f33456a629451e8664?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/3ea3b397-9a23-408a-8421-50fd1d902746JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/907773df-d032-42dc-b60a-978734f5ac21JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/9d81ae7ea7c4a7e39cf676f33456a629451e8664/eventsJSON