AI Engineer

🕒 May 6

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NoGood

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

☁️ SaaS

Marketing • Artificial Intelligence • SaaS

NoGood is a growth marketing agency that specializes in providing strategic marketing services to startups, scale-ups, and Fortune 500 brands. They offer a wide range of services, including social ads, paid search, SEO, content marketing, and marketing analytics. NoGood focuses on using advanced AI technologies and data-driven strategies to help their clients achieve scalable and measurable growth. With expertise in industries such as SaaS, healthcare, fintech, B2B, and consumer markets, NoGood builds bespoke squads that tackle unique growth challenges for their partners. Their approach emphasizes performance branding, rapid experimentation, and deep industry expertise.

📋 Description

• 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.

🎯 Requirements

• 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.