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Remote Retrieval Augmented Generation Jobs in Dallas, TX

AI Lead Engineer (Remote)

Dallas, TX ยท Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python

New

AI Lead Engineer

Dallas, TX ยท On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python

New

AI Lead Engineer

Dallas, TX ยท Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI ... Retrieval-Augmented Generation (RAG) Embeddings & Vector Databases Fine-tuning LLMs Python ...

New

Sr Data Scientist GenAI

Dallas, TX ยท On-site +1

$150K - $210K/yr

... Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Lead Data Engineer - AWS

Dallas, TX ยท On-site +1

$101K - $133K/yr

Implement and optimize vector search capabilities using Amazon OpenSearch Serverless or specialized vector engines for RAG (Retrieval-Augmented Generation). * Serverless Data Engineering: Build ...

Lead Data Engineer - AWS

Dallas, TX ยท Remote

$104K - $138K/yr

Implement and optimize vector search capabilities using Amazon OpenSearch Serverless or specialized vector engines for RAG (Retrieval-Augmented Generation). * Serverless Data Engineering: Build ...

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Remote Retrieval Augmented Generation information

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

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 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 popular job titles related to Remote Retrieval Augmented Generation jobs in Dallas, TX? For Remote Retrieval Augmented Generation jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Dallas, TX look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Retrieval Augmented Generation jobs? Cities near Dallas, TX with the most Remote Retrieval Augmented Generation job openings:

AI Lead Engineer (Remote)

Delan Associates, Inc

Dallas, TX โ€ข Remote

$104K - $138K/yr

Full-time

Posted 2 days ago

New


Job description

AI Lead Engineer

Dallas, TX (REMOTE)

15+ Years


Must-Have Skills

* Artificial Intelligence (AI) & Machine Learning (ML)

* Deep Learning

* Generative AI (GenAI)

* Large Language Models (LLMs)

* Prompt Engineering

* Retrieval-Augmented Generation (RAG)

* Embeddings & Vector Databases

* Fine-tuning LLMs

* Python

* TensorFlow

* PyTorch

* Scikit-learn

* Data Preprocessing & Feature Engineering

* Model Training, Validation & Evaluation

* Statistics & ML Algorithms

* MLOps

* CI/CD Pipelines

* Docker

* Kubernetes

* REST APIs & Microservices

* Cloud Platforms (Azure / AWS / GCP)

* AI Model Deployment & Productionization

* Security, Privacy & Responsible AI

* Problem Solving & Analytical Skills

* Agile/Scrum

Preferred (Good to Have):

* Retail domain experience

* Enterprise Transformation projects

* Model Governance

* Stakeholder Management

* Excellent Communication Skills