This article summarizes the responsibilities, required skills, and preferred qualifications for a role focused on designing and managing automation systems. It covers building end-to-end workflows with low-code/no-code tools, connecting APIs and databases, using LangChain and Python for AI integrations, handling webhooks and triggers, debugging and documenting systems, and collaborating with teams during U.S. working hours.
Core responsibilities
- Create, implement, and manage automation systems using tools like n8n and other low-code/no-code platforms.
- Connect APIs, databases, CRMs, and external software to build smooth, end-to-end automated workflows.
- Use LangChain and Python to design intelligent AI-powered processes and custom integrations.
- Set up and manage webhooks, event-based triggers, and time-based automations for client projects.
- Identify issues in existing workflows, debug errors, and improve performance and stability.
- Partner with internal team members to discover automation opportunities and deliver scalable solutions.
- Maintain proper documentation of workflows and systems to ensure clarity and long-term scalability.
- Be available to collaborate during U.S. working hours.
Required skills and technical background
Key technical skills center on automation platforms, integration methods, and data handling, paired with analytical and communication abilities.
- Experience with automation platforms such as Zapier, Make, Airtable, or similar tools.
- Working knowledge of REST APIs, GraphQL, and webhook-based integrations.
- Comfortable handling databases (SQL or NoSQL) for building automation pipelines.
- Strong analytical mindset with excellent troubleshooting capabilities.
- Effective communication skills and ability to collaborate with cross-functional teams.
- Self-driven individual who can manage multiple assignments independently.
- Willing to work according to U.S. time zones.
Preferred qualifications and operational practices
Desired extras focus on AI platform exposure and version control to support maintainable, scalable automation work.
- Exposure to AI/ML platforms such as OpenAI, Anthropic, or Hugging Face.
- Experience using version control systems like GitHub or GitLab for managing workflows and code.
In summary, the role emphasizes building and maintaining automated, end-to-end workflows with low-code/no-code tools, integrating APIs and databases, applying LangChain and Python for AI integrations, managing triggers and webhooks, debugging and documenting systems, and collaborating with teams—while operating during U.S. working hours. Required skills include automation platforms, API and database knowledge, troubleshooting, communication, and self-direction.
