Job Overview
AI Agent Development:
• Build and deploy AI agents and automated workflows using tools such as LangChain, n8n, Zapier, or similar frameworks under the guidance of senior team members.
• Support the integration of AI agents with internal systems, including applicant tracking systems (ATS), spreadsheets, CRM platforms, and communication tools through APIs.
• Test and debug AI agent workflows, escalating complex issues to senior specialists as needed.
Solution Support & Communication:
• Help translate business requirements from non-technical stakeholders into clear and functional automations.
• Communicate project progress, blockers, and technical limitations clearly to internal teams.
• Document workflows, prompts, and system logic to support maintainability and knowledge transfer.
Cross-Functional Collaboration:
• Partner with Operations, Recruitment, and HR teams to identify simple automation opportunities.
• Work closely with AI Trainers and the AI Lead to support the adoption of new AI tools.
• Provide first-line support and troubleshooting for deployed AI agents.
Learning & Continuous Improvement:
• Continuously build proficiency in emerging AI agent frameworks and automation tools through hands-on practice and mentorship.
• Monitor agent performance and identify issues or unexpected behavior.
• Contribute to internal documentation and best-practice guides for AI agent development.
Requirements
- • 0–2 years of experience in AI, automation, scripting, or a related field. Fresh graduates with strong academic or personal projects involving AI tools, automation, or scripting are encouraged to apply.
• Foundational understanding of APIs, basic scripting, prompt engineering, and how AI tools can be integrated into automated workflows.
• Exposure to at least one AI agent or workflow automation tool, such as LangChain, n8n, Zapier, Make, or similar platforms, through coursework, personal projects, internships, or bootcamps.
• Strong written and verbal English communication skills, with the ability to explain technical concepts and project implementations in clear, non-technical language.
• Curious, self-directed learner who is comfortable working with evolving requirements while receiving guidance and mentorship.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.