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Remote Rag Jobs in Latham, NY (NOW HIRING)

Jahnel Group

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

Jahnel Group

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Latham, NY

Remote Rag information

See Latham, NY salary details

$16

$20

$22

How much do remote rag jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote rag in Latham, NY is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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 (Retrieval-Augmented Generation) specialist?

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 (Responsible AI Governance) 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 Latham, NY are hiring for Remote Rag jobs? Cities near Latham, NY with the most Remote Rag job openings:
Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Latham, NY as of July 2026, with employment types broken down into 2% Locum Tenens, 5% As Needed, 84% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $43,223 per year, or $20.8 per hour.
Advanced Cloud Based Programmer (GCP focus)- Hybrid - Long Term Contract

Advanced Cloud Based Programmer (GCP focus)- Hybrid - Long Term Contract

Experienced Recruiting Partners

Albany, NY • On-site, Remote

Full-time

Posted 18 days ago

Job description

Contract Role

Length: Currently 12 months (potential for ongoing renewals)

Location: Hybrid - Remote + 50% Onsite in Albany, NY

Client is seeking two experienced Advanced Cloud & Generative AI Developers to join a team supporting and enhancing conversational AI solutions.

  • These positions are expected to be one-year engagements with the potential for ongoing renewals.
  • Team members will work across multiple initiatives, supporting existing chatbot and virtual agent applications while also developing new AI-driven solutions.

The ideal candidate will have strong expertise in Google Cloud Platform (GCP), conversational AI development, generative AI technologies, and full-stack application development using Python and JavaScript.

Responsibilities:

  • Design, develop, enhance, and maintain chatbot and virtual agent solutions built on Google Cloud Platform.
  • Build and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
  • Develop and maintain backend services and APIs using Python and JavaScript.
  • Support existing applications, troubleshoot issues, and implement enhancements.
  • Collaborate with business stakeholders and technical teams to gather requirements and deliver solutions.
  • Maintain high-quality, readable, and well-documented code.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.
  • Contribute to infrastructure automation and CI/CD processes using Terraform and Git-based repositories.

Requirements:

  • Bachelor's degree.
  • 5+ years related experience.
  • 2+ years of hands-on experience with Google Cloud Platform (GCP).
  • 2+ years of experience developing chatbots or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience building Generative AI applications and AI agents.
  • Strong understanding of Retrieval-Augmented Generation (RAG) concepts and implementations.
  • Experience with prompt engineering and prompt optimization techniques.
  • Proficiency in Python application development.
  • Proficiency in JavaScript development for both frontend and backend applications.
  • Experience using source control systems such as Git, GitHub, or GitLab.
  • Experience developing and maintaining infrastructure-as-code solutions using Terraform.
  • Ability to write and maintain clean, scalable, and maintainable code.
  • Strong verbal and written communication skills.
  • Experience working directly with business stakeholders and customers.

    Preferred Qualifications:

  • Google Cloud certifications.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with various Generative AI platforms and services.
  • Machine Learning or AI model development experience.
  • Experience with Looker reporting and LookML.
  • Experience designing and deploying cloud-native applications.
  • Familiarity with Agile development methodologies and DevOps practices.

    Technical Skills:

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Conversational AI: Dialogflow, Conversational Agents
  • Generative AI: AI Agents, RAG, Prompt Engineering
  • Programming Languages: Python, JavaScript
  • Infrastructure as Code: Terraform
  • Version Control: Git, GitHub, GitLab
  • Analytics & Reporting: Looker, LookML
  • Development Practices: CI/CD, Code Reviews, Testing, Documentation

    Soft Skills:

  • Excellent communication and collaboration skills.
  • Strong problem-solving and analytical abilities.
  • Ability to work independently and as part of a cross-functional team.
  • Customer-focused mindset with experience engaging directly with stakeholders.
  • Ability to adapt quickly to new technologies and evolving project requirements.