Junior AI Engineer

0



Workflow Development


  • Design, implement, and maintain low-code Agents (e.g., n8n workflows) that connect internal APIs (e.g., CRM, ERP, databases) to LLM models and delivery channels (Teams, email, etc).
  • Create and document agents and their reusable nodes, modules, or Model Context Protocol (MCP) for common integrations (REST, SQL, message queues).
  • Develop and run tests to validate workflow logic and data transformations.
  • Define graduation criteria for the Agents.

Monitoring & Support

  • Getting agent logs into an internal monitoring system that tracks workflow, agent performance, costs, and error rates, in collaboration with the Senior Engineer to optimize and scale.

Collaboration & Handoff

  • Present workflow demos to Departments and teams, gather feedback, and iterate rapidly.
  • Package and document workflows so they can graduate to the more advanced lane of agents when higher complexity or Machine Learning capabilities are required.

Innovation & Continuous Improvement

  • Explore new low-code patterns, connector libraries, or AI-enhancing nodes; prototype ideas and share learnings.
  • Continue building your coding and framework skills (Python, AI orchestration frameworks) and deepen your technical expertise, with the goal of evolving into designing and delivering end-to-end AI agents.

Qualifications

  • 2+ years experience building low-code or AI agents (n8n, Zapier, make.com or equivalent).
  • Proficient in Python for software or agents (e.g. small helper services, data preparation, or custom node development).
  • Solid understanding of REST APIs, basic SQL, and authentication flows (OAuth2).
  • experience with RESTful design, Git workflows, and unit testing
  • Managing multiple priorities and comfortable working across disciplines.
  • Familiar with the Agile/Scrum method of working
  • Broad knowledge in the area of software development



    Nice to have:
  • Experience with Semantic Kernel, LangChain, CrewAI, AutoGen, etc.
  • Experience building AI agents with Python.
  • Experience building agents for internal departments in a company or as a product.


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