• Design, develop, and deploy scalable applications using Go, Python, and other modern languages. • Build and integrate AI-driven solutions, including prompt engineering and automation workflows. • Rapidly prototype and iterate on new ideas to deliver minimum viable products (MVPs). • Collaborate with cross-functional teams to define, design, and implement technical solutions. • Optimize code for performance, scalability, and maintainability. • Participate in design reviews, code reviews, and contribute to process improvements.

Role Description 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. - 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. Qualifications - 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. Requirements - 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. Company Description 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.

• Own Problems End-to-End: Take product problems from discovery to production with full ownership • User Understanding: Deeply understand user problems, workflows, and constraints to inform solutions • Fullstack Development: Design and build features across UI, backend, database, APIs, and integrations • AI Workflow Development: Build AI-powered workflows using LLMs, retrieval, agents, structured extraction, and tool use • Data Integration: Work with documents, data sources, and enterprise systems for comprehensive solutions • Rapid Iteration: Ship quickly, test with users, and iterate based on real feedback and usage patterns • Product Quality: Ensure quality across UX, performance, reliability, security, and maintainability • AI-Augmented Development: Use AI coding tools as part of daily workflow for accelerated delivery • Pattern Recognition: Turn repeated customer patterns into scalable product features

• Translate product needs into agentic tools and services and ship them to production. • Scale prototypes to large numbers of users. • Improve and test our semantic search service. • Build evaluation pipelines for code retrieval and coding task performance.