What are the responsibilities and job description for the Early-Career AI Engineer | Create and Launch a First-of-Its-Kind Product position at Giltner Transportation?
We are a fast-growing, values-driven company in Northwest Arkansas, built on faith and a relentless drive to serve. Over the last decade, we’ve proven that doing the right thing—every time—creates lasting relationships and opportunity. Now we’re taking our next big leap: building a new AI-powered platform to transform an essential business sector.
Our culture is defined by our Core Values:
- Never Give Up: Tenacious intensity and a relentless drive to win.
- Service Obsession: Deliver radical, memorable service to customers and partners.
- Win Fast: Fast is better than slow—most failed actions can be reversed.
- Be Great: Stay curious and challenge everything, even when uncomfortable.
- Faith: “We must not get tired of doing good, for we will reap at the proper time if we don’t give up.” – Galatians 6:9
- Transparent Integrity: Be yourself, commit to ideas, and speak with honesty.
We’re looking for an AI Software Engineer to help create an innovative, commercial-grade AI product from the ground up. This is a rare opportunity to design and build a sophisticated AI platform that will make a lasting impact—without being limited to a narrow feature set. You’ll work directly with leadership to turn high-level business goals into a market-ready, polished solution.
- Architect and develop the AI platform from initial concept through full launch.
- Build and deploy machine learning models, integrating them into a scalable, production-ready application.
- Develop APIs, data pipelines, and a robust cloud-based infrastructure.
- Collaborate closely with leadership to convert business challenges into actionable technical solutions.
- Ensure the end product is slick, intuitive, and built to scale.
- 2–5 years of professional software engineering experience in AI/ML, full-stack, or related fields.
- Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow).
- Experience deploying applications in cloud environments (AWS, Azure, or GCP).
- Familiarity with APIs, microservices, and real-time data processing.
- A self-starter with strong problem-solving skills and a passion for creating transformative technology.
- Experience launching SaaS products or working in startup environments.
- Knowledge of natural language processing or large language models.
- Background in logistics or other complex, operations-heavy industries (not required).
- Mission-driven environment: We live our core values every day—Never Give Up, Service Obsession, Win Fast, Be Great, Faith, and Transparent Integrity.
- Direct impact: Your work will be central to a flagship AI product and visible across the company.
- Growth potential: Work side-by-side with decision-makers, not buried in layers of management.
- Competitive pay and benefits tailored to early-career professionals.