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Llm Ml Rag Jobs in Oklahoma (NOW HIRING)

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... ML workflows. • Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG). • Ability to support data flows for model ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... for ML workflows. * LLM Awareness: Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG). * Pipeline Support: Ability to ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... for ML workflows. * LLM Awareness: Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG). * Pipeline Support: Ability to ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... ML workflows. • Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG). • Ability to support data flows for model ...

Accenture

$70K - $205K/yr

Implement LLM patterns - implement RAG, prompt orchestration, evaluation, and guardrails in LLM ... Minimum of 3 years of experience in software or AI/ML engineering * Minimum of 2 years of hands-on ...

System One

AI Systems Engineer

Tulsa, OK · On-site

The individual will have direct experience and knowledge of LLM's, RAG systems, & AI Workflow ... Some professional, academic, or project-based experience building AI/ML or intelligent software ...

System One

AI Systems Engineer

Tulsa, OK · On-site

The individual will have direct experience and knowledge of LLM's, RAG systems, & AI Workflow ... Some professional, academic, or project-based experience building AI/ML or intelligent software ...

System One

AI Systems Engineer

Tulsa, OK · On-site

The individual will have direct experience and knowledge of LLM's, RAG systems, & AI Workflow ... Some professional, academic, or project-based experience building AI/ML or intelligent software ...

System One

AI Systems Engineer

Tulsa, OK · On-site

The individual will have direct experience and knowledge of LLM's, RAG systems, & AI Workflow ... Some professional, academic, or project-based experience building AI/ML or intelligent software ...

System One

AI Systems Engineer

Tulsa, OK · On-site

The individual will have direct experience and knowledge of LLM's, RAG systems, & AI Workflow ... Some professional, academic, or project-based experience building AI/ML or intelligent software ...

Accenture

... ML and AI. We built myConcerto platform, which serves as a repository of Industry Best Practices ... Architect solutions using SAP BTP and the rapidly evolving SAP GenAI Hub (LLM models, Vector Engine ...

All JobsLlm Ml Rag JobsLlm Ml Rag Jobs in Oklahoma

Llm Ml Rag information

What is an llm ml rag job?

LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.

What are some typical challenges faced when working on retrieval-augmented generation (RAG) systems in large language model (LLM) machine learning roles?

Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.

What are the key skills and qualifications needed to thrive as an llm ml rag engineer, and why are they important?

To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.

What is the difference between Llm Ml Rag vs Data Scientist?

AspectLlm Ml RagData Scientist
Required CredentialsMaster's or PhD in ML, AI, or related fields; certifications in ML frameworksDegree in Computer Science, Statistics, or related; certifications in data analysis or ML
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting firms
Common Search & ComparisonOften compared for ML specialization and research focusCompared for data analysis, modeling, and business insights

While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.

What are popular job titles related to Llm Ml Rag jobs in Oklahoma?

For Llm Ml Rag jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Llm Ml Rag jobs in Oklahoma look for?

The top searched job categories for Llm Ml Rag jobs in Oklahoma are:

Llm Ml Rag jobs near you

Care Innovation - Senior Solution Engineer 135-2034

CommunityCare

Tulsa, OK • On-site

$50.50 - $65/hr

Full-time

Re-posted 7 days ago

Job description

JOB SUMMARY:
The Senior Solution Engineer is responsible for designing, configuring, and implementing customer-facing AI solutions that translate business and customer requirements into secure, scalable, production-ready systems. This role develops AI-powered applications by selecting and configuring AI models and agents, engineering prompts and agentic workflows, fine-tuning models for customer-specific use cases, and integrating AI capabilities into enterprise applications and business processes. This role delivers accurate, compliant, and measurable solutions that meet performance expectations, service level agreements (SLAs), and return on investment (ROI) objectives within a HIPAA-regulated healthcare environment.
KEY RESPONSIBILITIES:
  • Gather and analyze customer and business requirements; design, implement, and integrate end-to-end AI-powered solutions with enterprise systems using REST and Graph APIs, SQL, files, and message queues to meet defined success criteria and SLAs.
  • Evaluate, select, and implement appropriate AI platforms, foundation models, and services (e.g., Azure OpenAI, Cognitive Services, and other LLM and ML services) to deliver capabilities such as retrieval-augmented generation (RAG), document understanding, classification, extraction, and summarization while balancing accuracy, cost, latency, and compliance.
  • Partner with stakeholders to manage the AI solution intake pipeline, evaluate ROI opportunities, and contribute to governance standards, reusable solution patterns, and operational runbooks.
  • Design, configure, and optimize AI models, agents, and workflows by engineering prompts, system instructions, guardrails, grounding strategies, and multi-step agentic processes to deliver reliable and effective AI solutions.
  • Adapt and fine-tune AI models for customer and domain-specific use cases through dataset curation, training, parameter tuning, and evaluation frameworks that measure accuracy, safety, bias, and performance while driving continuous improvement.
  • Implement and manage AI solution delivery pipelines using CI/CD tools (Azure DevOps or GitHub Actions), including version control, package management, automated testing, and deployment of AI applications and models.
  • Monitor and optimize production AI solutions by tracking performance metrics, managing exceptions, performing root cause analysis, reducing mean time to resolution (MTTR), and ensuring compliance with security, privacy, and protected health information (PHI) requirements.
  • Serve as a technical lead for AI solution delivery from proof of concept through production deployment, support, and continuous iteration while mentoring engineers and promoting AI best practices through technical guidance, demonstrations, and knowledge sharing.
  • Performs other job-related duties as required or assigned.

QUALIFICATIONS:
  • Strong programming skills (e.g., Python and/or C#/.NET), including API usage, integration, and testing.
  • Experience with Microsoft Azure services such as Azure Functions, Storage, Key Vault, and App Service; hands-on CI/CD in Azure DevOps and Git branching strategies.
  • Solid understanding of REST APIs, JSON and XML, SQL, and data transformation concepts.
  • Experience with Git-based workflows and CI/CD, secure SDLC, and secrets management.
  • Strong attention to detail and communication skills, with the ability to translate customer and business needs into technical deliverables.
  • Ability to work independently while handling multiple tasks and projects simultaneously.
  • Willingness to work in a high-tech, continually evolving, innovative environment.
  • Experience working within healthcare, insurance, or public sector environments preferred.
  • Knowledge of Integrations with SAP, Oracle reporting, Salesforce, and ServiceNow preferred.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • A minimum of five years of progressive experience delivering software, data, or solution engineering initiatives, including hands-on implementation of AI/ML or generative AI solutions in production environments.
  • Prior demonstrated experience configuring, fine-tuning, and deploying AI models and agents.
  • Prior experience designing, configuring, and optimizing AI solutions using LLMs, generative AI, AI agents, prompt engineering, RAG, grounding strategies, and agent/tool orchestration.
  • Prior experience adapting and evaluating AI models through customization, fine-tuning, dataset curation, and performance testing using enterprise AI platforms such as Azure OpenAI, Cognitive Services, or comparable LLM/ML frameworks.
  • Certifications in Azure AI Engineer Associate, Azure Solutions Architect, or Azure Data Scientist Associate preferred.
  • Prior experience with AI application development frameworks and supporting technologies, including agent orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, or similar), vector databases, embeddings, and MLOps/LLMOps platforms for deployment, monitoring, and optimization preferred.
  • Prior experience integrating AI capabilities into enterprise automation platforms and workflows, such as UiPath or Microsoft Power Platform, preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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