AI Software Engineer II

About the role

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.

Responsibilities

• 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.

Requirements

• 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

• 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.

Benefits

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.

Pay

Details TBD

Schedule

Details TBD