IFD AI Engineer

Role Description

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.

Qualifications

• 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.