AI Software Engineer II

🔥 0 minutes ago

🌵 Arizona, California, +26 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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NCC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1996

💸 Finance

🚘 Automotive

☁️ SaaS

Finance • Automotive • SaaS

NCC is a provider of credit-driven retailing solutions specifically designed for auto dealerships. Their platform integrates a powerful credit and compliance engine, a comprehensive CRM system, and various tools for credit reports, compliance workflow, ID verification, and data mining. With a focus on maximizing profitability and ensuring compliance with automotive credit regulations, NCC helps dealerships navigate the complexities of financing, enhance customer interactions, and drive more profitable sales.

📋 Description

• Design, build, and deploy AI-powered features within the 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 supporting AI workflows • Contribute across the application stack, including backend services and frontend enhancements • Collaborate with Product Managers, UX Designers, and Software Engineers • Rapidly prototype AI capabilities and iterate on customer feedback • Write clean, maintainable, well-tested code • Optimize application performance, scalability, and reliability • Participate in code reviews and contribute to architectural decisions • Deliver production-ready AI features and help accelerate AI adoption across the platform

🎯 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 consuming or integrating LLMs and AI services via APIs • Experience building RESTful APIs and backend application services • Working knowledge of AWS, Azure, or Google Cloud • Experience with Git and modern software development practices • Understanding of SQL and/or NoSQL databases and data modeling • Strong analytical and problem-solving skills • Excellent collaboration and communication skills • Preferred: experience with Retrieval-Augmented Generation (RAG) • Preferred: experience using vector databases and embeddings • Preferred: familiarity with LangChain or LlamaIndex • Preferred: experience building data pipelines and AI workflows • Preferred: experience deploying containerized applications with Docker and Kubernetes • Preferred: exposure to CI/CD pipelines and DevOps practices • Preferred: experience developing customer-facing SaaS applications • Must reside in an eligible U.S. state • Must answer application questions about AI/ML systems built in fintech or automotive, recent fintech or automotive experience, English fluency, and U.S. work eligibility

🏖️ Benefits

• Medical, Dental, Vision Insurance • Company Paid Life and Short-Term Disability Benefits • Voluntary opportunity to purchase Supplemental Life and Disability Benefits • Unrestricted Paid Time Off • 401k Plan with a company match • Competitive pay • Professional development opportunities and continuous training • A supportive, dynamic work environment with opportunities for growth and advancement • Dynamic Team Culture • Opportunity to work hybrid or fully remote in some roles