What are the responsibilities and job description for the IFD AI Engineer position at ChatGPT Jobs?
Job Description
Job Title: Internal Forward Deployed AI Engineer
Location: Milwaukee, WI (with remote option)
About The Client
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.
What You Will Do
Job Title: Internal Forward Deployed AI Engineer
Location: Milwaukee, WI (with remote option)
About The Client
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.
What You Will Do
- 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 HubSpot, 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, TypeScript, or another modern programming language used for AI and automation development.
- Experience integrating with third‑party APIs and business SaaS platforms such as HubSpot, 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, Make.com, 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.