Houston, TX · On-site
$125K - $150K/yr
Strong practical experience developing RAG / Retrieval-Augmented Generation solutions. * Experience with LLM evaluation, LLMOps, or MLOps is highly desirable. * Experience with big-data technologies ...
Houston, TX · On-site
$125K - $150K/yr
Strong practical experience developing RAG / Retrieval-Augmented Generation solutions. * Experience with LLM evaluation, LLMOps, or MLOps is highly desirable. * Experience with big-data technologies ...
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 ...
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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 ...
The ideal candidate has strong experience designing and building AI-enabled enterprise applications using Python, Generative AI, Retrieval-Augmented Generation, or RAG, Azure cloud infrastructure, C# ...
The ideal candidate has strong experience designing and building AI-enabled enterprise applications using Python, Generative AI, Retrieval-Augmented Generation, or RAG, Azure cloud infrastructure, C# ...
Strong understanding of LLM frameworks (RA, or similar) and retrieval-augmented generation (RAG). · * Expertise in designing structured prompt frameworks, few-shot prompting, and prompt performance ...
Quick apply
Strong understanding of LLM frameworks (RA, or similar) and retrieval-augmented generation (RAG). · * Expertise in designing structured prompt frameworks, few-shot prompting, and prompt performance ...
Spring, TX · On-site
$88K - $121K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Spring, TX · On-site
$88K - $121K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Spring, TX · On-site
$93K - $127K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Spring, TX · On-site
$93K - $127K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Spring, TX · On-site
$95K - $131K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Spring, TX · On-site
$95K - $131K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Houston, TX · On-site
Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...
Houston, TX · On-site
Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
Houston, TX · On-site
$120 - $180/hr
Knowledge of large language models (LLMs), generative AI, retrieval-augmented generation, recommendation engines, and AI workflow orchestration * Familiarity with Azure, AWS, GCP, cloud services ...
Houston, TX · On-site
$120 - $180/hr
Knowledge of large language models (LLMs), generative AI, retrieval-augmented generation, recommendation engines, and AI workflow orchestration * Familiarity with Azure, AWS, GCP, cloud services ...
This role requires hands?on experience implementing Generative AI capabilities such as Retrieval-Augmented Generation (RAG), knowledge graphs, and AI agents, as well as collaborating with cross ...
This role requires hands?on experience implementing Generative AI capabilities such as Retrieval-Augmented Generation (RAG), knowledge graphs, and AI agents, as well as collaborating with cross ...
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Houston, TX · On-site
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Houston, TX · On-site
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning * Familiarity with Linux/HPC environments and version ...
Houston, TX · On-site +1
$97K - $128K/yr
Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...
Houston, TX · On-site +1
$97K - $128K/yr
Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...
Houston, TX · On-site +1
$97K - $128K/yr
Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...
Houston, TX · On-site +1
$97K - $128K/yr
Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
For Retrieval Augmented Generation jobs in Houston, TX, the most frequently searched job titles are:
The top searched job categories for Retrieval Augmented Generation jobs in Houston, TX are:
Cities near Houston, TX with the most Retrieval Augmented Generation job openings:
Houston, TX • On-site
$125K - $150K/yr
Other
Posted 4 days ago
Location: Houston, TX
Employment Type: Full-Time
Experience: 7–15 Years
Salary: $125,000 – $150,000 per year
Work Authorization: ,
Client: Tavant Technologies
Industry: Information Technology / Enterprise Products
Tavant Technologies is seeking a Senior Data Scientist – GenAI / RAG to join its Enterprise Products team. The ideal candidate will have a strong foundation in traditional Data Science and Machine Learning, combined with hands-on experience developing Generative AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and Agentic AI solutions.
The candidate should be experienced in applying advanced analytical and machine learning techniques to complex business problems, working with large datasets, and translating data-driven insights into scalable enterprise solutions.
Experience in the Energy, Utilities, Oil & Gas, Renewable Energy, or Natural Resources domain is highly preferred.
The successful candidate should also be comfortable collaborating with product, engineering, and business teams and communicating technical concepts effectively to both technical and non-technical stakeholders.
Key ResponsibilitiesCandidates with experience supporting organizations in the following areas are highly preferred:
Utilities / Grid
Oil & Gas / Natural Resources
Energy Technology
Consulting – Energy Practices
Data Science:
Python, R, SQL, Statistical Modeling, Predictive Analytics, Machine Learning
Machine Learning:
Scikit-learn, XGBoost, CatBoost, TensorFlow, PyTorch
Generative AI:
GenAI, LLMs, RAG, Retrieval-Augmented Generation, Agentic AI
Big Data:
Databricks, Snowflake, Apache Spark, PySpark
MLOps / LLMOps:
MLflow, Model Evaluation, Model Monitoring, Model Deployment
Cloud:
AWS, Azure, Google Cloud
Visualization:
Power BI, Tableau
The ideal candidate is not purely a GenAI/LLM engineer or an academic Data Scientist. We are looking for someone who combines:
Traditional Data Science + Machine Learning + GenAI/LLM + RAG + Enterprise Product Experience
Candidates with direct Energy-domain experience and the ability to communicate effectively with customers and business stakeholders will receive strong preference.
Please submit candidates with recent, hands-on experience in Data Science, Machine Learning, and GenAI/RAG.
