IFD AI Engineer

Internal Forward Deployed AI Engineer

Location:

Milwaukee, WI (remote option)

E‑Commerce company (20+ employees) providing an industry‑preferred platform for team dealers, custom apparel decorators, and corporate suppliers to launch online stores with confidence.

• Design, build and maintain AI agents, workflow automations, and internal tools that improve efficiency across the organization.
• Develop integrations between business‑critical platforms such as Hub Spot, Microsoft 365, Slack, Confluence, and other SaaS practices.
• Partner with leadership and department stakeholders to identify workflow bottlenecks and deliver scalable solutions that drive measurable business impact.
• Build production‑ready applications and services using APIs, webhooks, AI technologies, and modern software engineering practices.
• Evaluate when AI‑driven solutions are appropriate versus when traditional software engineering or deterministic automation approaches are the better fit.
• Implement monitoring, evaluation frameworks, and performance tracking to ensure the reliability, quality, and effectiveness of AI‑powered systems.
• Establish best practices for AI governance, data security, privacy, and responsible technology adoption.
• Research emerging AI tools, models, frameworks, and automation technologies to identify opportunities for innovation and operational improvement.
• Measure and communicate the business impact of deployed solutions, including efficiency gains, cost savings, and process improvements.
• Create and maintain technical documentation that supports long‑term scalability, maintainability, and knowledge sharing.

• 5+ years of professional software engineering experience, including building and supporting production applications and integrations.
• Strong proficiency in Python, Type Script, or another modern programming language used for AI and automation development.
• Experience integrating with third‑party APIs and business SaaS platforms such as Hub Spot, Microsoft 365, Slack, Confluence, or similar systems.
• Hands‑on experience developing AI‑powered applications using large language models, including prompt design, retrieval workflows, tool use, evaluation strategies, and performance optimization.
• Experience building agent‑based systems, workflow orchestration solutions, or multi‑step automations that connect multiple platforms and services.
• Familiarity with leading AI platforms and model providers such as Claude, OpenAI, Gemini, Copilot, or similar technologies.
• Working knowledge of automation tools such as Zapier, , n8n, or comparable workflow platforms.
• Strong problem‑solving and debugging skills, with experience diagnosing issues across integrated and distributed systems.
• Knowledge of API security, secrets management, data governance, and best practices for handling sensitive business information.
• Excellent communication skills with the ability to translate business needs into technical solutions and effectively collaborate with both technical and non‑technical stakeholders.
• Self‑motivated, adaptable, and comfortable operating in a fast‑paced environment where priorities and business needs evolve over time.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field preferred; equivalent professional experience will also be considered.