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Software Engineer Ai Remote information

What does a software engineer AI remote do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

What are the key skills and qualifications needed to thrive as a software engineer AI remote?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

How does a remote software engineer AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

What are popular job titles related to Software Engineer Ai Remote jobs in Iowa?

For Software Engineer Ai Remote jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Remote jobs in Iowa look for?

The top searched job categories for Software Engineer Ai Remote jobs in Iowa are:

Software Engineer Ai Remote jobs near you
Infographic showing various Software Engineer Ai Remote job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer II (Credit)

National Credit Center

Bettendorf, IA • On-site, Remote

$87K - $119K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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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