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Remote Rag Jobs in Austin, TX (NOW HIRING)

SkillNet Solutions, Inc.

AI Solutions Architect

Austin, TX · On-site +1

$62.50 - $82.25/hr

Remote (US time zone overlap required) Experience: 10+ years in software/ML architecture, 5+ years ... RAG architecture together with the data and ML teams -- chunking strategies, hybrid retrieval ...

SkillNet Solutions Inc

AI Solutions Architect

Austin, TX · Remote

$64.50 - $85/hr

Remote (US time zone overlap required) Experience: 10+ years in software/ML architecture, 5+ years ... RAG architecture together with the data and ML teams -- chunking strategies, hybrid retrieval ...

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 ... Strong understanding of LLMs, Generative AI, RAG architectures, prompt engineering, and AI agents.

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

... remote flexibility. Key Responsibilities Conversational Design and Prompting * Design multi turn ... Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines)

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote rag in Austin, TX is $21.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $22.64 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What are popular job titles related to Remote Rag jobs in Austin, TX?

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Remote Rag jobs near you

Software Developer 1688

Sistema Technologies, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

Austin, TX
Software Developer - Solicitation# 529601688
Texas Health and Human Services Commission (HHSC)
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). **Subject to change per the hiring team**
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 4 Required experience in AI/ML engineering or advanced data science 4 Required Proven track record of building and deploying production-grade autonomous agents. 4 Required Strong experience in context engineering 4 Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4 Required Experience implementing RAG architectures using vector databases 4 Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 4 Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation 4 Required Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls 4 Required Understanding of data privacy and handling of sensitive data (PII/PHI) 2 Preferred Experience building multi-agent or autonomous agentic workflows 2 Preferred Experience optimizing LLM cost, token usage, and performance 2 Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
I need Three References
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PeerCo-WorkerSupervisor
CustomerEnd-UserSubordinate
Reference Name (Required): Title (Optional) Company Name (Required): Phone Number (Required include area code): E-mail address (Optional): Professional Relationship (Optional):
PeerCo-WorkerSupervisor
CustomerEnd- UserSubordinate
Reference Name (Required): Title (Optional) Company Name (Required): Phone Number (Required include area code): E-mail address (Optional): Professional Relationship (Optional):
PeerCo-WorkerSupervisor
CustomerEnd- UserSubordinate

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