AI Software Engineer II (Credit) at National Credit Center in Remote

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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