IFD AI Engineer

Job Description

Job Description

ABOUT US

HirexHire (pronounced hire by hire) is a recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan.

We partner with companies expecting or experiencing high growth who need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses.

OUR CLIENT

Location: Milwaukee, WI

Industry: E-Commerce

Company Size: 20+

What They Do: Our client provides an industry-preferred platform that gives the power to team dealers, custom apparel decorators, & corporate suppliers to launch online stores with confidence. With a heavy focus on faster site building, more accurate inventory management, consistent/automatic pricing, and on-time/accurate fulfillment, our client’s goal is to make building sites easy.

THE ROLE

Our client is seeking an Internal Forward Deployed AI Engineer to build and deploy AI-powered solutions that streamline operations, automate workflows, and improve decision-making across the organization. Reporting directly to the CEO, this individual will partner with teams across the business to identify high-impact opportunities and develop production-grade AI agents, integrations, and automation solutions that connect existing systems and eliminate manual work. THis is a highly hands-on engineering role for someone who enjoys solving complex business problems, working across functions, and turning emerging AI capabilities into measurable business outcomes.

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.

WHAT YOU WILL NEED

• 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.