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Remote Retrieval Augmented Generation Jobs in Michigan

Harris

(Remote) AI Bid & Proposal Manager

Wyoming, MI · On-site +1

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

Harris

(Remote) AI Bid & Proposal Manager

Wyoming, MI · On-site +1

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

General Motors

AI Agent Engineer

Warren, MI · 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 ...

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Architect and deliver LLM-enabled Generative AI solutions (e.g., Retrieval-Augmented Generation, tool use, and agentic workflows) that enable natural-language access to SME knowledge assets such as ...

Detroit Defense

AI Engineer

Troy, MI · On-site +1

$78K - $82K/yr

... remote. The AI Engineer plays a pivotal role in advancing Detroit Defense's mission across the ... Familiarity with tool-calling/agent frameworks, retrieval-augmented generation (RAG), and vector ...

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Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

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 some 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 Michigan? The most popular types of Retrieval Augmented Generation jobs in Michigan are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Michigan? For Remote Retrieval Augmented Generation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Michigan look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Michigan are:
What cities in Michigan are hiring for Remote Retrieval Augmented Generation jobs? Cities in Michigan with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you

Custom GPT Expert / AI Consultant (Remote, Contract) (Remote)

Augusto Digital

Grand Rapids, MI • On-site, Remote

Contractor

Posted 22 days ago

Job description

Are you an AI enthusiast with a knack for building proof-of-concept (PoC) and minimum viable product (MVP) solutions? We're looking for a ChatGPT Expert / AI Consultant to help clients define, prototype, and implement custom AI-driven solutions.
About the Role
As a ChatGPT Expert, you will work directly with clients to design, develop, and refine AI-powered PoCs and MVPs. Your expertise in custom GPT implementations, prompt engineering, API integrations, and workflow automation will play a key role in helping businesses validate AI use cases before full-scale development.
This is a remote contract position, ideal for a self-starter who enjoys rapid prototyping and working with emerging AI technologies.
Key Responsibilities
  • Consult with clients to understand business needs and define AI-powered PoC/MVP requirements.
  • Create Custom GPT's by working with clients' own data.
  • Design and develop lightweight AI prototypes and MVPs leveraging custom GPTs and OpenAI APIs.
  • Implement and fine-tune GPT models for specific industry use cases.
  • Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG).
  • Integrate AI into client workflows using APIs, automation tools, and third-party systems.
  • Provide technical guidance on AI feasibility, limitations, and scalability for future development.
  • Stay ahead of AI trends to recommend best practices and innovative solutions.

Requirements
  • Proven experience working with ChatGPT, OpenAI APIs, or other LLMs in a consulting or development role.
  • Strong knowledge of prompt engineering, RAG, fine-tuning, and AI customization.
  • Experience with PoC and MVP development, including rapid prototyping methodologies.
  • Proficiency in API integration and automation tools (e.g., Zapier, LangChain, vector databases).
  • Ability to translate business goals into functional AI solutions.
  • Strong communication and problem-solving skills, especially in a remote consulting environment.

Preferred Qualifications
  • Background in AI, NLP, machine learning, or software development.
  • Experience working with AI-powered chatbots, automation platforms, or enterprise AI solutions.
  • Familiarity with ethical AI practices, compliance, and data security considerations.

Why Join Us:
Impactful Work: Contribute to projects that make a significant impact on healthcare and other industries.
Professional Growth: Opportunities for continuous learning and development in a dynamic and supportive environment.
Collaborative Culture: Work with a team of skilled professionals who are passionate about delivering value and driving growth.
Innovation: Be part of a company that values innovation and encourages new ideas and approaches.
How to Apply:
Interested candidates should submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to [insert application email or link].
**Augusto Digital is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**
Join us at Augusto Digital and help us turn data into actionable insights that drive growth and innovation!

Apply