Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...
New
Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...
New
AI Software Engineer|Manufacturing
$111K - $188K/yr
Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...
AI Software Engineer|Manufacturing
$111K - $188K/yr
Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...
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 ...
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 ...
Generative AI Researcher
Warren, MI · On-site
... Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent ...
Generative AI Researcher
Warren, MI · On-site
... Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent ...
... Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent ...
... Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent ...
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...
Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...
Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...
Strong knowledge of Retrieval-Augmented Generation (RAG). * Knowledge of machine learning, deep learning, and natural language processing (NLP). * Knowledge of Azure services. * Understanding of APIs ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Exposure to LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, or evaluating AI output quality. * Hands-on usage of AI tools in your development workflow, such ...
Senior Software Engineer (Agentic AI Applications)
Detroit, MI · On-site
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Senior Software Engineer (Agentic AI Applications)
Detroit, MI · On-site
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Senior Software Engineer (Agentic AI Applications)
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Senior Software Engineer (Agentic AI Applications)
$121K - $159K/yr
Experience with LLM application patterns such as retrieval-augmented generation (RAG), agent evaluation harnesses, guardrails, or production monitoring of AI behavior. * Strong hands-on usage of AI ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
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.
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.
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.
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.
AI Agentic Engineer
Detroit, MI · On-site
$100K - $120K/yr
... Retrieval-Augmented Generation): Deep, practical knowledge of building and optimizing RAG pipelines. This includes data ingestion, various chunking strategies, embeddings, vector databases (e.g ...
AI Agentic Engineer
Detroit, MI · On-site
$100K - $120K/yr
... Retrieval-Augmented Generation): Deep, practical knowledge of building and optimizing RAG pipelines. This includes data ingestion, various chunking strategies, embeddings, vector databases (e.g ...
AI Engineer
Grand Rapids, MI · On-site
Strong experience with RAG (Retrieval-Augmented Generation). Expertise in machine learning, deep learning, and NLP. Hands-on experience with LLMs and Generative AI (GPT, Llama, etc.). Proficiency in ...
AI Engineer
Grand Rapids, MI · On-site
Strong experience with RAG (Retrieval-Augmented Generation). Expertise in machine learning, deep learning, and NLP. Hands-on experience with LLMs and Generative AI (GPT, Llama, etc.). Proficiency in ...
Retrieval Augmented Generation information
What does a retrieval augmented generation engineer do?
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What is a retrieval augmented generation?
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
What skills and qualifications are needed for retrieval augmented generation?
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
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 Retrieval Augmented Generation jobs in Michigan? For Retrieval Augmented Generation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Michigan look for? The top searched job categories for Retrieval Augmented Generation jobs in Michigan are:
What cities in Michigan are hiring for Retrieval Augmented Generation jobs? Cities in Michigan with the most Retrieval Augmented Generation job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 2 days ago
New
Elara Caring rating
5.5
Based on 125 frontline employees who took The Breakroom Quiz
165th of 239 rated social care providers
Job description
At Elara Caring, we have a unique opportunity to play a huge role in the growth of an entire home care industry. Here, each employee has the chance to make a real difference by carrying out our mission every day. Join our elite team of healthcare professionals, providing the Right Care, at the Right Time, in the Right Place.
Job Description:
At Elara Caring, we care where you are and believe the best place for your care is where you live. We know there's no place like home, and that's why our teams continue to provide high-quality care to more than 60,000 patients each day in their preferred home setting. Wherever our patients call home and wherever they are on their journey of health, we care. Each team member has a part to play in this mission. This means you have countless ways to make a difference as a AI Automation Engineer II. Being a part of something this great starts by carrying out our mission every day through your true calling: developing an amazing team of compassionate and dedicated healthcare providers.
To continue to be an industry pioneer in delivering unparalleled care, we need a AI Automation Engineer II with commitment and compassion. Are you one of them? If so, apply today!
Why Join the Elara Caring mission?
- Work in a collaborative environment.
- Be rewarded with a unique opportunity to make a difference
- Competitive compensation package
- Tuition reimbursement for full-time staffand continuing education opportunities for all employees at no cost
- Opportunities for advancement
- Comprehensive insurance plans for medical, dental, and vision benefits
- 401(K) with employer match
- Paid time off, paid holidays, family, and pet bereavement
- Pet insurance
As a AI Automation Engineer II you'll contribute to our success in the following ways:
- Coordinate with stakeholders, vendors, and cross-functional teams to ensure successful project delivery.
- Collaborate with business lines to identify and evaluate opportunities for Automating and optimizing business processes.
- Design, develop, deploy, and support AI automation solutions across the full lifecycle (build, test, deployment, monitoring, and optimization)
- Ensure AI automation solutions are reliable, scalable, and maintainable in production environments
- Stay up-to-date with industry trends and best practices in business process automation and systems integration.
- Will be available via MS Teams, email, and phone to provide timely answers to team members, vendors, and customers.
- Contribute to the ongoing development of the team by sharing knowledge, experience, and expertise with other team members.
- Capable of managing own workload with minimal supervision to meet tight deadlines.
- Innovates and streamlines processes, taking advantage of any automation opportunities, identifying future issues and plan accordingly.
- Measure and report on performance, impact, and effectiveness of automation solutions
- Adhere to organizational standards for data privacy, security, and responsible AI usage
What is Required?
- Bachelor's degree in computer science, Information Systems, Software Engineering, or an equivalent combination of education and experience.
- 3-6 years of experience in automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.Experience working in an Agile IT environment, required.
- Hands-on experience with cloud-based AI services particularly in the Azure Stack (e.g., Azure OpenAI, Azure AI Foundry).
- Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions
- Proficiency with integration and automation platforms (e.g., Logic Apps, Power Automate, Azure Functions, or equivalent)
- Familiarity with enterprise platforms such as ServiceNow and Microsoft Power Platform
- Working knowledge of Python for AI workflows, data processing, and integrations (preferred)
- Microsoft Certified: Azure AI Engineer Associate - preferred
- Microsoft Certified: Power Platform Developer Associate - preferred
- Microsoft or cloud AI certifications preferred.
- Other relevant AI/ML or cloud certifications -advantageous
- Experience building scalable, high quality agentic workflows, retrieval-augmented generation (RAG) architectures, or LLM-powered automation.
- Structures and analyzes data to support AI workflows, evaluate performance, and generate insights that improve solution design and outcomes.
- Resolves complex technical challenges by identifying root causes, evaluating options, and implementing effective solutions in dynamic environments.
- Analyzes workflows to identify automation opportunities and improves efficiency through optimized, AI-enabled processes.
- Works effectively with cross-functional teams (engineering, product, business stakeholders) to execute and deliver AI solutions and incorporate diverse inputs.
- Plans and prioritizes work to manage multiple tasks and support timely, consistent delivery of AI solutions.
- TRAVEL: 10% travel may be required for occasional internal meetings and business alignment
You will report to the AI Transformation Manager.
The base salary for this position is$85,000-$110,000 and is based on the company's good faith estimate at the time of posting. Actual pay will be determined based on factors such as education, experience, skills, and internal equity.
Equal Employment Opportunity: We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruiting@elara.com.
Pay & Benefit Information: Compensation for this role will be determined based on a variety of factors, including qualifications, skills, competencies, and relevant experience. Elara offers a broad range of benefits. Learn more at https://careers.elara.com/us/en/benefits
EVerify: Elara Caring participates in E-Verify after a job offer is accepted and Form I-9 completed.
What Elara Caring employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Elara Caring
Sourced by ZipRecruiter
At Elara Caring, we have an unique opportunity to play a huge role in the growth of an entire home care industry. Here, each employee has the chance to make a real difference by carrying out our mission every day. Join our elite team of healthcare professionals, providing the Right Care, at the Right Time, in the Right Place.
Industry
Health care and social assistance
Company size
10,000+ Employees
Headquarters location
Dallas, TX, US
Year founded
1994