AI/ML Engineer
Plano, TX · On-site
$109K - $131K/yr
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. * Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.
AI/ML Engineer
Plano, TX · On-site
$109K - $131K/yr
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. * Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.
AI Engineer
Dallas, TX · On-site
$90 - $120/hr
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
$90 - $120/hr
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Architect
Plano, TX · On-site
GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...
AI Architect
Plano, TX · On-site
GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...
IT - Senior Technology Architect
San Antonio, TX · On-site
$129K/yr
Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...
IT - Senior Technology Architect
San Antonio, TX · On-site
$129K/yr
Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Senior AI Application Engineer (Remote Opportunity)
Dallas, TX · On-site
$140 - $180/hr
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...
New
Senior AI Application Engineer (Remote Opportunity)
Dallas, TX · On-site
$140 - $180/hr
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...
New
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Quick apply
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"
Quick apply
Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...
Quick apply
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
Quick apply
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
Sierra.ai Consultant
Dallas, TX · On-site
... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...
Quick apply
Sierra.ai Consultant
Dallas, TX · On-site
... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...
... Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy. • Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and ...
... Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy. • Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and ...
Python Developer with LLM, GCP
Irving, TX · On-site
$48 - $66.25/hr
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...
Quick apply
Python Developer with LLM, GCP
Irving, TX · On-site
$48 - $66.25/hr
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...
AI Engineer
Dallas, TX · On-site
$120 - $180/hr
In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...
AI Engineer
Dallas, TX · On-site
$120 - $180/hr
In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...
Lead Data/AI Engineer
Atlanta, TX · On-site
$120 - $180/hr
Develop Generative AI and Large Language Model (LLM) solutions, including prompt engineering and Retrieval Augmented Generation (RAG) * Build APIs, integrations, automations, and microservices ...
New
Lead Data/AI Engineer
Atlanta, TX · On-site
$120 - $180/hr
Develop Generative AI and Large Language Model (LLM) solutions, including prompt engineering and Retrieval Augmented Generation (RAG) * Build APIs, integrations, automations, and microservices ...
New
Temporary Retrieval Augmented Generation information
What is the difference between Temporary Retrieval Augmented Generation vs Data Scientist?
| Aspect | Temporary Retrieval Augmented Generation | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires knowledge of AI, NLP, and some programming skills | Requires degrees in data science, statistics, or related fields, often with certifications in data analysis |
| Work Environment | Often project-based, working with AI models and large datasets in tech or research firms | Usually in corporate, research, or tech companies analyzing data to inform decisions |
| Industry Usage | Used in AI development, natural language processing, and machine learning projects | Applied across industries for data analysis, predictive modeling, and business insights |
Temporary Retrieval Augmented Generation focuses on enhancing AI models with retrieval techniques, while Data Scientists analyze data to generate insights. Both roles require technical skills but serve different purposes within the tech and data ecosystem.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Texas?
The most popular types of Retrieval Augmented Generation jobs in Texas are:
What are popular job titles related to Temporary Retrieval Augmented Generation jobs in Texas?
For Temporary Retrieval Augmented Generation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Retrieval Augmented Generation jobs in Texas look for?
The top searched job categories for Temporary Retrieval Augmented Generation jobs in Texas are:
What cities in Texas are hiring for Temporary Retrieval Augmented Generation jobs?
Cities in Texas with the most Temporary Retrieval Augmented Generation job openings:
Job description
AI/ML Engineer
?? Location: Plano, TX (Hybrid)
?? Duration: Long-Term Contract
Client: EmergerTech - USLBM
Job Overview
We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy enterprise-scale AI solutions. The ideal candidate will have hands-on experience developing production-ready AI applications, implementing MLOps best practices, and building scalable cloud-based machine learning systems.
This role offers the opportunity to work on cutting-edge AI initiatives, including Generative AI, Retrieval-Augmented Generation (RAG), LLM fine-tuning, and intelligent enterprise applications.
Key Responsibilities
- Design, develop, train, and deploy scalable Machine Learning and Deep Learning models for production environments.
- Build AI-powered applications using traditional ML techniques, Generative AI, and Large Language Models (LLMs).
- Develop and optimize data pipelines for structured and unstructured data processing.
- Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.
- Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.
- Build, automate, and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
- Collaborate with Data Scientists, Software Engineers, Data Engineers, and business stakeholders to deliver AI-driven solutions.
- Optimize model accuracy, scalability, inference performance, and latency.
- Implement AI governance, responsible AI practices, model monitoring, and security best practices.
- Stay current with emerging AI technologies, frameworks, and industry trends.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- 10+ years of hands-on experience in Artificial Intelligence, Machine Learning, or Data Science.
- Strong programming experience with Python.
- Experience with Machine Learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with Large Language Models (LLMs), Prompt Engineering, and Generative AI.
- Experience implementing Retrieval-Augmented Generation (RAG) solutions.
- Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Milvus.
- Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI.
- Experience building REST APIs using FastAPI, Flask, or similar frameworks.
- Strong understanding of SQL and NoSQL databases.
- Hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines.
- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
- Experience with LangChain, LlamaIndex, or Semantic Kernel.
- Experience working with Azure OpenAI, OpenAI APIs, Anthropic Claude, or Google Gemini.
- Knowledge of distributed computing frameworks such as Apache Spark.
- Experience with Databricks or Snowflake.
- Familiarity with Responsible AI, AI Governance, and Model Monitoring.
- AI/ML or Cloud certifications are a plus.
Technical Skills
- Python
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- LangChain / LlamaIndex
- TensorFlow
- PyTorch
- Scikit-learn
- FastAPI / Flask
- Docker
- Kubernetes
- MLflow / Kubeflow
- SQL / NoSQL
- Vector Databases (Pinecone, FAISS, Chroma, Milvus)
- REST APIs
- Git
- CI/CD
- AWS / Azure / Google Cloud Platform
About Prophecy Consulting
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Irvine, CA, US
Year founded
2018