Internal AI Product Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Internal AI Product Engineer in United States.

This role is focused on building and scaling AI-powered internal tools that transform how teams operate, collaborate, and automate workflows across the organization. You will combine strong back-end engineering expertise with product thinking to design systems that embed AI into daily business operations and productivity processes. Working at the intersection of engineering, AI innovation, and internal product strategy, you will help shape a company-wide AI-native ecosystem. The position offers significant ownership, allowing you to drive initiatives from discovery and architecture to deployment and adoption. You will collaborate closely with cross-functional stakeholders while influencing long-term technical direction and operational efficiency. This is a fast-paced, high-impact environment where experimentation, autonomy, and innovation are highly valued.

• 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.

• 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.

• 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.