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Remote Retrieval Augmented Generation Jobs in Pflugerville, TX

Kake Group

Senior AI Architect

Austin, TX · Remote

$132K - $180K/yr

Strong experience with Retrieval-Augmented Generation (RAG) architectures and retrieval-based ... Ability to work independently in a remote, fast-paced environment. Nice-to-Have * Experience ...

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 ...

Addison Group

Senior Full Stack AI Engineer

Austin, TX · Remote

$85 - $95/hr

Monday-Thursday (8 AM-5PM CST) onsite; Fridays remote. Benefits: This position is eligible for ... and Retrieval-Augmented Generation (RAG) solutions. * Integrate AI applications with enterprise ...

Amat

Manager, Data Scientist

Austin, TX · On-site +1

$176K - $242K/yr

Serve as a hands-on technical leader responsible for building scalable AI platforms, including agent orchestration, memory management, tool integration, Retrieval-Augmented Generation (RAG ...

3coresystems

Solutions Architect 3 / AI

Austin, TX · Remote

$62.50 - $82.25/hr

Solutions Architect 3 Location: 100% Remote. If they are residing in the US however, preferred ... Hands on experience designing Retrieval Augmented Generation (RAG) architectures, including: Data ...

VIDIZMO LLC

Channel Account Manager

Austin, TX · Remote

Our AI Powered Intelligence Hub uses large language models, retrieval augmented generation, and multimodal AI. We deliver automated tagging, redaction, facial detection, sentiment analysis, and ...

Feedonomics

Lead Software Engineer - AI

Austin, TX · On-site +1

Deep understanding of LLM-based solution patterns, including Retrieval-Augmented Generation (RAG ... solutions #LI-LH1 #LI-REMOTE (Pay Transparency Range: $163,040 - $244,560) Compensation ...

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

Remote Retrieval Augmented Generation information

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 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 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 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 job categories do people searching Remote Retrieval Augmented Generation jobs in Pflugerville, TX look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Pflugerville, TX are:

What cities near Pflugerville, TX are hiring for Remote Retrieval Augmented Generation jobs?

Cities near Pflugerville, TX 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 Pflugerville, TX as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution.

Senior AI Architect

Austin, TX • Remote

Kake Group
See more jobs at Kake Groupexternal

$132K - $180K/yr

Contractor

Re-posted 17 days ago

Job description

We're looking for a Senior AI Architect to lead the design and development of production-grade AI applications that solve complex real-world challenges at scale.

In this role, you'll combine AI architecture, software engineering, and cloud technologies to build intelligent systems from concept to deployment. You'll work across the full technology stack, designing scalable AI solutions, retrieval systems, agent workflows, and modern application architectures that power next-generation products.

This opportunity is ideal for someone who thrives at the intersection of AI innovation and software engineering, enjoys solving complex technical problems, and has a proven track record of bringing AI-powered systems into production.

Key Responsibilities

  • Design and architect production-grade AI applications and platforms.
  • Build and evolve scalable retrieval and knowledge systems that support AI-powered experiences.
  • Design and implement agent-based and multi-agent architectures to solve complex workflows and automation challenges.
  • Develop backend services, APIs, data pipelines, and cloud-native infrastructure supporting AI systems.
  • Architect end-to-end solutions that balance performance, scalability, reliability, and security.
  • Drive technical decisions related to AI application design, orchestration, deployment, and system integration.
  • Collaborate with engineering teams to deliver high-quality solutions across multiple layers of the technology stack.
  • Integrate AI solutions with internal and external platforms, services, and data sources.
  • Contribute to engineering standards, architecture reviews, and technical best practices.
  • Mentor engineers and promote a culture of technical excellence.

Core Requirements

  • Proven experience designing, building, and deploying AI-powered applications in production environments.
  • Strong experience with Retrieval-Augmented Generation (RAG) architectures and retrieval-based systems.
  • Experience designing and implementing agent-based or multi-agent systems for real-world production use cases.
  • Deep understanding of information retrieval, semantic search, knowledge systems, and AI orchestration patterns.
  • Experience developing and optimizing AI workflows, including retrieval, ranking, context management, and response generation.
  • Strong software architecture and distributed systems design experience.
  • Advanced proficiency in Python and modern software development practices.
  • Experience building backend services, APIs, and scalable cloud-native applications.
  • Experience with modern frontend technologies such as React, Next.js, or similar frameworks.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience with Docker, Kubernetes, and modern deployment practices.
  • Understanding of security, authentication, and enterprise integration patterns.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Experience working with large-scale language models and advanced AI architectures.
  • Familiarity with vector databases, hybrid search, reranking, and retrieval optimization techniques.
  • Experience with AI observability, evaluation frameworks, and performance monitoring.
  • Experience leading technical initiatives or mentoring engineering teams.
  • Exposure to streaming, real-time systems, or high-scale distributed platforms.

Additional

US Timezone Overlap: 6h–7h daily CST

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.