AI Automation & Workflow Engineer

About the Role

The day-to-day responsibilities of this role will include writing code, connecting APIs, deploying agents, and monitoring systems to ensure they function optimally. The ideal candidate will have a strong foundation in computer science, with a degree in this field or equivalent technical experience. A deep understanding of AI technologies, including LLM APIs, and experience with automation platforms like n8n, Zapier, or Make, are essential.

Seamless Assist operates in a fast-paced, dynamic environment where adaptability, creativity, and a willingness to learn are valued. The company culture emphasizes collaboration, innovation, and customer satisfaction, making it an exciting place to work for motivated professionals looking to make a meaningful impact.

What You Will Do

• Design and build end-to-end automation workflows using tools like Zapier, Make, or n8n, connecting platforms via REST APIs and webhooks.
• Write scripts in Python or JavaScript when no-code tools are insufficient for the task.
• Deploy and monitor systems to ensure they run smoothly without constant intervention.
• Develop AI agents using OpenAI API, Claude API, or similar LLM APIs.
• Design agent logic, including memory, decision trees, tool use, and context management.
• Integrate AI into real business workflows such as lead qualification, content generation, support, and reporting.
• Utilize RAG (retrieval-augmented generation) or memory layers when agents need to remember information.
• Connect CRMs, databases, communication tools, and custom platforms via API.
• Work with tools like Airtable, HubSpot, and similar platforms at the API level.
• Handle data flow, error handling, and edge cases, not just the standard workflow.
• Manage version control via GitHub and maintain clean, documented code.
• Write clear SOPs and technical guides for non-technical teams.
• Train client teams on using and maintaining developed systems.

What We Are Looking For

• A Computer Science degree or equivalent technical degree.
• 3+ years of hands-on experience in software development, automation engineering, or AI systems.
• Proficiency in Python and/or JavaScript, with the ability to write and debug code independently.
• Experience with REST APIs, webhooks, and authentication methods.
• Hands-on experience building with LLM APIs in real projects.
• Experience with at least one automation platform (n8n, Zapier, Make).
• Strong written English skills, as evidenced by technical documentation.
• Advanced AI fluency, with AI embedded in system design, build, and deployment.
• Availability during client business hours, with time zone overlap.

Nice to Have

• Experience with GoHighLevel (GHL) at the API or workflow level.
• RAG experience, including retrieval-augmented generation, vector databases, or persistent memory.
• A GitHub portfolio or demo showing an AI agent or automation in production.
• Experience in a client-facing, agency, or embedded role.
• Background in fitness tech, SaaS, or service business operations.
• Familiarity with cloud infrastructure (AWS, Google Cloud).

Benefits and Perks

• Competitive compensation package.
• Opportunity to work with cutting-edge AI and automation technologies.
• Collaborative and dynamic work environment.
• Professional development opportunities, including training and conference sponsorships.
• Flexible working hours and remote work options.
• Access to the latest tools and technologies in the field.
• Health and wellness programs, including mental health support and fitness initiatives.
• Generous PTO policy and paid holidays.
• Remote stipend for home office setup and internet expenses.

• Ensure your portfolio includes examples of AI-powered systems or automation workflows you've built, highlighting your technical skills and problem-solving abilities.
• Familiarize yourself with the latest developments in AI, automation, and integration technologies to stand out in interviews.
• Practice explaining complex technical concepts in simple terms, as you'll be working with non-technical stakeholders.
• Be prepared to discuss your experience with version control, testing, and deployment, as well as your approach to debugging and troubleshooting.
• Highlight any experience you have with cloud infrastructure, as this is increasingly important in the field of AI and automation.
• Consider taking courses or earning certifications in AI, automation, or related fields to boost your candidacy and stay up-to-date with industry developments.
• Don't underestimate the importance of soft skills, such as communication and teamwork, in a technical role like this; be prepared to give examples of how you've worked collaboratively in the past.