We’re building an AI team from the ground up to transform how our entire company operates—from sales to production—and we need builders, designers, and systems thinkers to make it real. This isn’t one role—it’s a team. Not sure which role fits you best? Start here: If you love building and shipping fast → AI Systems Developer If you think in systems and design how everything connects → AI Systems Architect If you care about performance, scale, and infrastructure → AI Infrastructure Engineer AI Systems Developer (Builder / Execution): Take ideas and turn them into working systems—fast. Build AI-powered tools that automate workflows, reduce manual work, and improve how the business runs day-to-day. Build AI workflows using APIs, automation tools, and internal systems Rapidly prototype → test → deploy → iterate Turn real business problems into usable tools Integrate AI into sales, production, logistics, and customer workflows AI Systems Architect (Strategy / Design / Scale): Design how everything fits together. Ensure what we build scales, connects, and drives real business results—not just technical output. Design end-to-end AI systems and data flows Define where AI should (and shouldn’t) be used Translate business strategy into AI roadmaps Set standards for tools, prompts, data, and system design AI Infrastructure Engineer (Performance / Compute / Reliability): Own the systems that power everything. Make sure everything runs fast, reliably, and cost-effectively. Design and manage compute (GPU/CPU, cloud vs local) Optimize performance, latency, and cost per request Build internal AI infrastructure and environments Ensure systems scale and don’t break under load Across all roles, you will: Turn real business problems into working AI solutions Build, integrate, and improve systems across departments Focus on speed, usability, and real-world adoption Continuously improve how we use AI across the company
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees