Job Description

Roles & Responsibilities

You will do:

• Build and maintain lightweight AI tools and agents to support internal teams and operational workflows.
• Automate recurring processes across teams to reduce manual work and increase efficiency.
• Develop internal scripts, services, and automations that unify workflows and data across the company.
• Improve system reliability through better monitoring, error handling, and documentation.
• Support internal data infrastructure by streamlining ingestion, transformation, and operational reporting workflows.
• Collaborate with cross-functional teams to identify bottlenecks and design scalable, technical solutions.
• Contribute to the ongoing development of NoGood s AI-native Growth OS, helping shape how work is done across teams.
• Evaluate new AI technologies and automation tools to enhance internal operations.
• Document systems and provide internal training where needed.
• Champion a mindset of technical excellence, efficiency, and continuous improvement.

Desired Candidate Profile

You have:

• 3 5+ years of experience in AI engineering, data engineering, systems engineering, automation, or technical operations.
• Strong proficiency in Python and building API-driven integrations or automations.
• Experience working with cloud environments and modern data infrastructures.
• Familiarity with LLMs, AI/ML workflows, and deploying or integrating model-driven systems.
• Strong ability to map internal processes and translate them into scalable, automated solutions.
• A systems mindset with attention to reliability, monitoring, and long-term maintainability.
• Ability to collaborate cross-functionally with growth, creative, analytics, and operations teams.
• High ownership, bias for action, and comfort with ambiguous or evolving problems.
• Bonus: experience in growth marketing, analytics, or creative operations.