AI Productivity Engineer

Job summary

The role involves developing internal AI tools and automations to enhance efficiency within the organization. The engineer will work closely with various teams to identify needs and implement solutions that streamline processes.

Qualifications

• Proficient in Python programming.
• Experience in creating AI tools, chatbots, and workflow integrations.
• Familiarity with API integration and workflow automation.
• Strong communication skills and ability to engage with different departments.
• Capable of promoting and driving the adoption of new tools.
• Understanding of business processes alongside technical skills.

Responsibilities

• Collaborate with engineering, product, sales, and operations teams to identify pain points and opportunities for AI tooling.
• Develop and maintain internal AI tools such as efficiency agents, documentation systems, chatbots, and meeting summary tools.
• Integrate tools with existing internal systems and workflows.
• Transform ad hoc AI concepts into reliable, reusable tools.
• Advocate for tool adoption through demonstrations and training sessions.
• Track usage metrics and assess time savings from implemented tools.

Skills

• Strong Python engineering skills.
• Experience with AI applications and internal tool development.
• Ability to communicate effectively and work independently.
• Good instincts for product development focused on internal efficiency.

Education

• Background in AI application engineering, automation engineering, or solutions engineering is preferred.

Tools

• Familiarity with AI development tools and platforms, workflow automation tools, and internal documentation systems.