What are the responsibilities and job description for the IFD AI Engineer position at HirexHire?
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.