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Remote Rag Jobs in Country Club Hills, IL (NOW HIRING)

Performacentric

Full Stack Developer

Chicago, IL · 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 ...

The Hartford

Principal AI Engineer

Chicago, IL · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Proficiency in customization techniques across various stages of the RAG pipeline, including model ...

Pryon

Solutions Architect

Chicago, IL · Remote

$160K - $180K/yr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Remote first organization - 100% Company paid Health/Dental/Vision benefits for you and your ...

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Remote Rag information

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$17

$21

$23

How much do remote rag jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote rag in Country Club Hills, IL is $21.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $22.79 per hour, depending on experience, location, and employer.

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 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 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 cities near Country Club Hills, IL are hiring for Remote Rag jobs? Cities near Country Club Hills, IL with the most Remote Rag job openings:
Remote Rag jobs near you

AI Engineer Lead - Remote / Telecommute

CYNET SYSTEMS

Chicago, IL • Remote

$115 - $120/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Job description

Job Overview:
Pay Range: $115.00hr - $120.00hr
Requirement/Must Have:
  • 8+ years of software/AI/ML engineering experience, with 2+ years in a technical lead role.
  • Proven experience designing and deploying AI/ML and Generative AI solutions in production, ideally including orchestration frameworks and agentic architectures (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar).
  • Strong hands-on experience with the Azure ecosystem (e.g., Azure OpenAI, Azure ML, Azure Functions, AKS, Azure Data services).
  • Experience with Snowflake, including Semantic Views and Cortex Analyst (or comparable text-to-SQL / semantic layer technologies).
  • Solid foundation in machine learning concepts, MLOps/LLMOps practices, and model lifecycle management, including integrating deployed ML models into orchestrated AI workflows.
  • Experience building RAG / document intelligence pipelines over unstructured content (e.g., playbooks, guidelines, knowledge bases).
  • Strong programming skills in Python; experience building APIs and microservices.
  • Experience working cross-functionally with data science, platform, and business teams in a large enterprise environment.
  • Experience implementing guardrails for AI systems (e.g., output validation, grounding, content filtering, and hallucination mitigation) to govern responses and protect user trust.
  • Strong verbal and written communication skills and the ability to operate with autonomy and ownership.
Responsibilities:
  • Lead the design, development, and deployment of the AI orchestration layer for Brand Growth Systems, enabling automated and intelligent insight generation.
  • Build the orchestration layer across three core capability sources: Snowflake Semantic Views, deployed ML models, and unstructured documents.
  • Partner with Business teams, the Gen AI COE, Data Science, ML, and Snowflake Platform teams to translate business needs into robust, scalable AI engineering solutions.
  • Architect and implement agentic AI workflows advancing capabilities from proactive insights toward agentic and ultimately autonomous systems.
  • Integrate LLM-based components, ML models, and data pipelines into cohesive, production-ready services on Azure.
  • Establish engineering best practices for AI solution development, including evaluation, monitoring, observability, security, guardrails, and responsible AI standards.
  • Implement guardrails around AI-generated responses including grounding, output validation, and content safety controls to govern response quality and protect user trust.
  • Provide senior-level technical guidance and mentorship to engineers and cross-functional partners.
  • Drive rapid prototyping and iteration while maintaining a clear path to production and enterprise-grade quality.
  • Communicate architecture decisions, trade-offs, and progress clearly to both technical and business stakeholders.
  •  
  • Nice to Have:
  • Experience with RAG pipelines, vector databases, and prompt/agent evaluation frameworks.
  • Familiarity with CPG, retail, or consumer insights/brand analytics domains.
  • Experience establishing responsible AI, governance, and security practices for enterprise AI systems.
  • Background in scaling AI capabilities within a Center of Excellence or platform team model.
  • Experience working with globally matrixed teams.
Skills:
  • AI Engineering.
  • Machine Learning.
  • Generative AI.
  • Azure OpenAI.
  • Azure ML.
  • Azure Functions.
  • AKS.
  • Snowflake.
  • Cortex Analyst.
  • Python.
  • LangChain.
  • LangGraph.
  • Semantic Kernel.
  • AutoGen.
  • MLOps.
  • LLMOps.
  • RAG.
  • APIs.
  • Microservices.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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