Internal AI Product Engineer

Overview

Accountabilities

• Design, develop, and maintain scalable back-end services, APIs, and integrations supporting internal AI-powered tools and workflows.
• Architect AI-enabled systems that improve productivity, automation, and operational efficiency across teams.
• Evaluate technical approaches and trade-offs related to model selection, integrations, scalability, and build-versus-buy decisions.
• Lead discovery and product planning activities for internal AI initiatives, translating business needs into clear technical requirements and roadmaps.
• Build and maintain shared AI services, reusable tooling, and foundational AI capabilities for internal users.
• Collaborate with engineering, product, and business stakeholders to embed AI into cross-functional workflows and processes.
• Provide technical leadership through design reviews, mentorship, and guidance on AI engineering best practices.
• Support adoption and enablement of AI tools through demonstrations, integrations, and continuous improvements.
• Stay informed on emerging AI/ML technologies, frameworks, and tooling to identify new opportunities and optimize solutions.

Requirements

• Proven experience as a senior or staff-level back-end engineer with strong expertise in Go, Python, or similar programming languages.
• Hands-on experience building and operating AI/LLM-powered systems in production environments.
• Strong understanding of scalable cloud infrastructure and distributed systems, particularly on GCP or similar platforms.
• Product management mindset with experience owning initiatives from discovery and roadmap planning to measurable delivery outcomes.
• Experience designing APIs, integrations, and automation workflows for internal or enterprise systems.
• Strong knowledge of modern AI tooling, coding assistants, agent frameworks, plugins, and AI integration patterns.
• Ability to balance hands-on engineering work with strategic technical leadership and mentoring responsibilities.
• Excellent stakeholder management and communication skills, with the ability to align cross-functional teams around priorities and trade-offs.
• Strong analytical thinking, problem-solving abilities, and adaptability in fast-moving environments.
• Passion for AI innovation, automation, and building impactful internal developer and employee experiences.

Benefits

• Fully remote-first work environment with flexible working arrangements.
• Opportunity to work on cutting-edge AI and automation initiatives with significant ownership and impact.
• Dedicated learning and development budget for courses, certifications, conferences, and professional growth.
• Access to mental health and personal well-being support programs.
• Collaborative and feedback-driven culture encouraging experimentation and continuous improvement.
• Participation in team workshops, knowledge-sharing sessions, and cross-functional innovation initiatives.
• Flexible work-life balance with autonomy over schedule and work location.
• Opportunities to attend in-person collaboration events, office weeks, and team-building activities.
• Inclusive and diverse workplace culture focused on openness, creativity, and shared success.

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