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Remote Retrieval Augmented Generation Jobs in Texas

Incedo Inc.

Frontend AI Engineer

Dallas, TX · On-site +1

Implement Retrieval-Augmented Generation (RAG) frameworks for enterprise knowledge solutio * ns.Optimize application performance, scalability, and user experien * ce.Collaborate with product managers ...

New

Qcells

AI Solutions Architect

Austin, TX · Remote

$160K - $210K/yr

LOCATION & WORK ARRANGEMENT This role is remote; however, the candidate(s) will be expected to ... calling, retrieval-augmented generation (RAG), memory, planning workflows, multi-agent ...

E-Solutions

AI/ML Tech Lead / Architect

Richardson, TX · On-site +1

... they can work remote. This is the least preferred option. Detailed * Collaborate with cross ... retrieval augmented generation. * Conduct thorough testing and validation to ensure the accuracy ...

Deloitte

AI and Data Science Engineer III

Austin, TX · On-site +1

$113K - $136K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

Deloitte

AI and Data Science Engineer III

Dallas, TX · On-site +1

$113K - $136K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

Deloitte

AI and Data Science Engineer III

San Antonio, TX · On-site +1

$103K - $124K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

Deloitte

AI and Data Science Engineer III

Houston, TX · On-site +1

$109K - $131K/yr

Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry * Deliver governed datasets and ...

General Motors

AI Agent Engineer

Austin, TX · On-site +1

Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities. * Integrate agents with enterprise systems, APIs, and data sources ...

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Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are some common challenges faced by professionals working in Remote Retrieval Augmented Generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is Remote Retrieval Augmented Generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
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 Remote Retrieval Augmented Generation jobs in Texas? For Remote Retrieval Augmented Generation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Texas look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Texas are:
What cities in Texas are hiring for Remote Retrieval Augmented Generation jobs? Cities in Texas with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you
Infographic showing various Remote Retrieval Augmented Generation job openings in Texas as of June 2026, with employment types broken down into 86% Full Time, 8% Part Time, 2% Temporary, and 4% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Python Developer with LLM, GCP

Sparc Technology Services Inc

Irving, TX • On-site, Remote

$48 - $66.25/hr

Full-time

Posted 24 days ago

Job description

Python Developer data engineering GCP Working
Exp with LLMs etc
building custom Python applications for large-scale data
building pipelines for data processing and deploying in GCP
Solid foundation in Machine Learning
Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management.
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques.
Experience working with Vector databases and text embeddings.
Experience within Google Cloud environments (e.g., BigQuery, Cloud Run).

Flexible work from home options available.