AI Product & Automation Specialist

Job Description

Job Description

TriMark Digital is seeking an AI Product & Automation Specialist to help build AI-powered tools, agents and workflows that improve how our team works and expand the solutions we offer clients. This role will turn business challenges into practical applications, from internal assistants and process automations to prototypes for new products and services.

The ideal candidate is a curious, resourceful builder who actively explores AI and has already used it to create something useful. You enjoy figuring out how things work, connecting tools and improving an idea through experimentation and feedback.

This is an early-career opportunity focused on initiative, problem-solving and demonstrated ability. A traditional web development background is not required. Your experience may come from internships, coursework, personal projects or independent learning.

RESPONSIBILITIES

AI Product & Agent Development

• Build AI-powered tools, agents and applications that address internal and client needs.
• Translate ideas and business requirements into working prototypes.
• Use AI-assisted development tools, agent builders and no-code or low-code platforms to create functional solutions.
• Refine prototypes based on feedback and collaborate with developers when projects require additional technical support.

Workflow Automation & Integration

• Identify opportunities to reduce repetitive tasks and improve how information moves between teams and systems.
• Build workflows that connect tools, organize information and support marketing, sales and agency operations.
• Explore APIs and integrations to extend functionality and connect existing platforms.
• Troubleshoot issues and maintain automations as needs evolve.

Research & Experimentation

• Explore emerging AI tools and evaluate their potential for specific business applications.
• Test different approaches and recommend tools based on usefulness, reliability and ease of adoption.
• Share findings and demonstrate practical applications to the broader team.
• Contribute ideas for new AI-powered products and services.

Testing & Continuous Improvement

• Test tools for accuracy, usability and reliability before broader use.
• Identify errors, limitations and situations that require human review.
• Gather user feedback and improve functionality over time.
• Document how tools work, how to use them and what their limitations are.

Collaboration & Business Application

• Work with strategists, creatives, developers and other team members to understand challenges and define useful solutions.
• Explain technical concepts clearly to colleagues with varying levels of AI experience.
• Help teams adopt new tools and incorporate them into their daily work.
• Connect projects to clear objectives, such as saving time, improving the customer experience or supporting sales and marketing.

REQUIREMENTS

• Hands-on experience using AI to build agents, applications, automations or other functional tools.
• Examples of completed or working projects that demonstrate initiative and problem-solving. Personal projects, coursework and independent experiments are welcome.
• Familiarity with AI-assisted development, agent-building or workflow automation platforms, with a willingness to learn new tools.
• An interest in APIs, integrations and how systems exchange information.
• Ability to research, troubleshoot and work through unfamiliar challenges.
• Strong attention to detail and a willingness to test and question AI-generated outputs.
• Clear communication skills and the ability to collaborate across disciplines.
• Strong organizational skills and follow-through, including documenting and improving what you build.
• An interest in applying AI to marketing, customer experiences and business operations.
• A computer science degree or traditional web development background is not required. Familiarity with reading or adapting code is helpful.

When applying, please include two or three examples of something you’ve built using AI. Links, short demonstrations or project walkthroughs are welcome. Tell us what problem you were solving, which tools you used, what you personally contributed and what you learned.