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HomeCompaniesFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2Sr Data Scientist - Gen AI ML - Irving

Sr Data Scientist - Gen AI ML - Irving

Fa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2 · United States; Texas, Irving, Texas, US · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
TitleSr Data Scientist - Gen AI ML - Irving
Normalized title-
Department / teamDevelopment
LocationUnited States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-13 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Department jobsActive postings in Development.Open
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Linked records

CompanyFa Ertb Saasfaprod1 Fa Ocs Oraclecloud Com CX 2
Sourcec9ed31af-e3b7-45ab-9928-44fa8c877305
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Role Summary: We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices. Technical Stack: LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment. Frameworks: LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval. Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements. Design and deploy high-performance, scalable backend services using FastAPI and Async Python. Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance. Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools. Containerize and deploy AI services via Docker to production environments. Required Qualifications: 7+ years of experience ; Hands-on experience building and deploying GenAI applications in a production setting. Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.). Experience with vector search, embedding models, and advanced data retrieval patterns. Knowledge of model fine-tuning techniques and local LLM quantization/hosting. Familiarity with production-grade monitoring, API security, and CI/CD for ML. Compensation, Benefits and Duration Minimum Compensation: USD 53,000 Maximum Compensation: USD 188,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Full job record

Job ID7306c4ce235f6acf111efcc1faa58625b8681662
Org ID9b9010ed-5f3e-4445-bf65-2990847efc8d
Source IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Board IDc9ed31af-e3b7-45ab-9928-44fa8c877305
Provideroracle_hcm
Provider Job Key25962
TitleSr Data Scientist - Gen AI ML - Irving
Normalized Title
Statusactive
Activeyes
Location TextUnited States; Texas, Irving, Texas, US
DepartmentDevelopment
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
Region
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Salary RawDescription Role Summary: We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices. Technical Stack: LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment. Frameworks: LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval. Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements. Design and deploy high-performance, scalable backend services using FastAPI and Async Python. Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance. Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools. Containerize and deploy AI services via Docker to production environments. Required Qualifications: 7+ years of experience ; Hands-on experience building and deploying GenAI applications in a production setting. Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.). Experience with vector search, embedding models, and advanced data retrieval patterns. Knowledge of model fine-tuning techniques and local LLM quantization/hosting. Familiarity with production-grade monitoring, API security, and CI/CD for ML. Compensation, Benefits and Duration Minimum Compensation: USD 53,000 Maximum Compensation: USD 188,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/25962
Apply URLhttps://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/job/25962
First Seen At2026-05-31 18:10:54Z
Last Seen At2026-06-06 11:42:19Z
Last Checked At2026-06-06 11:42:19Z
Last Changed At2026-05-31 18:10:54Z
Inactive At
Source Posted At2026-05-13 19:28:34Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com|CX_2/date=2026-06-06/2026-06-06T11-39-58-531Z-e320342a62e45378bca2a748525babe6f39f646f8831572ba82a69bb753d37a3.json
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