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Remote Retrieval Augmented Generation Jobs in Iowa

National Credit Center

AI Software Engineer II

Bettendorf, IA · On-site +1

$87K - $119K/yr

Experience with Retrieval-Augmented Generation (RAG). * Experience using vector databases and embeddings. * Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex. * Experience ...

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Remote Retrieval Augmented Generation information

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

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

AI Software Engineer II

National Credit Center

Bettendorf, IA • On-site, Remote

$87K - $119K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Who We Are:
NCC is a leader in providing award-winning software, credit and compliance solutions, and cutting-edge data to the automotive industry for over 30 years. Our solutions help dealerships streamline their operations, enhance their finance and insurance (F&I) processes, and drive profitability. We are looking for individuals who thrive in a high-growth environment.
Overview:
We're seeking an AI Software Engineer II to help build the next generation of AI-powered capabilities. In this role, you'll develop and deliver production-ready software that integrates large language models (LLMs), machine learning, and cloud-based AI services into customer-facing applications.
You'll partner closely with Product and Engineering to rapidly prototype, build, and deploy intelligent features, applying strong software engineering fundamentals to deliver scalable, reliable, and maintainable solutions. This is an excellent opportunity for an engineer with 2-4 years of experience who enjoys solving real-world business problems with modern AI technologies.
What You'll Do:
  • Design, build, and deploy AI-powered features within our SaaS platform.
  • Integrate LLMs and cloud AI services into production applications.
  • Develop scalable backend services, REST APIs, and application integrations.
  • Build and maintain data pipelines that support AI workflows.
  • Contribute across the application stack, including backend services and frontend enhancements as needed.
  • Collaborate with Product Managers, UX Designers, and Software Engineers to deliver customer-centric solutions.
  • Rapidly prototype new AI capabilities and iterate on customer feedback.
  • Write clean, maintainable, well-tested code that follows software engineering best practices.
  • Optimize application performance, scalability, and reliability.
  • Participate in code reviews and contribute to architectural decisions.

What You'll Have:
Required:
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
  • 2-4 years of professional software engineering experience.
  • Experience developing applications with Python, C#, Java, JavaScript, or similar object-oriented languages.
  • Experience with consuming or integrating LLMs and AI services via APIs.
  • Experience building RESTful APIs and backend application services.
  • Working knowledge of cloud platforms, including AWS, Azure, or Google Cloud.
  • Experience with Git and modern software development practices.
  • Understanding of databases and data modeling (SQL and/or NoSQL).
  • Strong analytical and problem-solving skills.
  • Excellent collaboration and communication skills.

Preferred:
  • Experience with Retrieval-Augmented Generation (RAG).
  • Experience using vector databases and embeddings.
  • Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex.
  • Experience building data pipelines and AI workflows.
  • Experience deploying containerized applications with Docker and Kubernetes.
  • Exposure to CI/CD pipelines and DevOps practices.
  • Experience developing customer-facing SaaS applications.

What Success Looks Like:
Within your first year, you'll contribute production-ready AI features, collaborate effectively across engineering teams, help accelerate AI adoption across our platform, and continuously improve the quality, scalability, and reliability of our software solutions.
What We Offer:
  • Competitive pay
  • Unrestricted PTO
  • Comprehensive benefits package, including health, dental, and vision insurance.
  • 401(k) plan with a company match.
  • Professional development opportunities and continuous training
  • A supportive, dynamic work environment with opportunities for growth and advancement.

We are an equal employment opportunity employer and a drug-free workplace.
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