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Remote Retrieval Augmented Generation Jobs in Dallas, TX

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · 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 ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · 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 ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · 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 ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Build retrieval-augmented generation (RAG) solutions. * Support prompt engineering and AI workflow ...

Hallmark Health Care Solutions

AI Software Engineer

Dallas, TX · On-site +1

$115K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote Reporting To: Atul Jain Compensation: $115,000 - $137,500 / year Description At Hallmark ... RAG & Semantic Search • Build scalable Retrieval-Augmented Generation (RAG) systems including ...

New

Gigapower

Applied AI Engineer

Dallas, TX · On-site +1

This role focuses on the application layer of AI, including retrieval-augmented generation (RAG), agents, orchestration frameworks, retrieval infrastructure, and internal tooling that enables ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

  • Retirement

Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data * Design, code, test, document, and maintain high quality ...

Gigapower

Applied AI Engineer

Dallas, TX · Remote

This role focuses on the application layer of AI, including retrieval-augmented generation (RAG), agents, orchestration frameworks, retrieval infrastructure, and internal tooling that enables ...

New

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

  • Retirement

Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data * Design, code, test, document, and maintain high quality ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Retrieval Augmented Generation (RAG) frameworks Enhance, develop, and deploy production-level ...

McKesson

AI Product Engineer

Irving, TX · Remote

This position is remote and candidates must reside within commuting distance of either The ... models (LLMs), retrieval-augmented generation (RAG), intelligent workflows, and related ...

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All JobsRetrieval Augmented Generation JobsRemote Retrieval Augmented Generation JobsRemote Retrieval Augmented Generation Jobs in Dallas, TX

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 the most commonly searched types of Retrieval Augmented Generation jobs in Dallas, TX?

The most popular types of Retrieval Augmented Generation jobs in Dallas, TX are:

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:

Remote Retrieval Augmented Generation jobs near you

Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Re-posted 8 days ago

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production-ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.
This position is temporarily remote.
Compensation: $150,000.00 - $210,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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