Home › Companies › Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 › Agentic 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
| Field | Value |
|---|---|
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Title | Agentic AI Engineer |
| Normalized title | - |
| Department / team | Advanced AI & ML |
| Location | United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-28 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Advanced AI & ML. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewjt Saasfaprod1 Fa Ocs Oraclecloud Com Cx 2 |
| Source | 907773df-d032-42dc-b60a-978734f5ac21 |
| ATS provider | Oracle 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 ID | 9d81ae7ea7c4a7e39cf676f33456a629451e8664 |
| Org ID | 3ea3b397-9a23-408a-8421-50fd1d902746 |
| Source ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Board ID | 907773df-d032-42dc-b60a-978734f5ac21 |
| Provider | oracle_hcm |
| Provider Job Key | 12729 |
| Title | Agentic AI Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; Exl - Texas |
| Department | Advanced AI & ML |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | 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 |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12729 |
| Apply URL | https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2/job/12729 |
| First Seen At | 2026-05-31 18:05:11Z |
| Last Seen At | 2026-06-06 11:44:11Z |
| Last Checked At | 2026-06-06 11:44:11Z |
| Last Changed At | 2026-05-31 18:05:11Z |
| Inactive At | — |
| Source Posted At | 2026-04-28 23:38:40Z |
| Source Updated At | — |
| Raw Payload Uri | s3://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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/3ea3b397-9a23-408a-8421-50fd1d902746JSONGET https://api.bluedoor.sh/job-postings/v1/sources/907773df-d032-42dc-b60a-978734f5ac21JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/9d81ae7ea7c4a7e39cf676f33456a629451e8664/eventsJSON