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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in creating autonomous AI agents and intelligent workflows to enhance customer support and sales processes. Proficient in prompt engineering and integrating various tools through APIs to optimize customer interactions and automate solutions.
Highest-signal resume keywords
N8N Automation DevelopmentLarge Language Models (LLMs)Prompt EngineeringREST APIs and WebhooksCustomer Support Metrics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
N8NPythonJavaScriptREST APIsWebhooksProgramming LogicData StructuresCustomer Support MetricsSales ProcessesRAG and Embeddings
Soft Skills
Clear CommunicationTeamwork
Tools & Technologies
ChatGPTClaudeMakeZapierBI Tools
Industry Keywords
Customer SupportProcess AutomationOmnichannel SolutionsLead NurturingSales Cycle
Tech Stack
Tools & technologiesJavaScriptPython
About the role
Key responsibilities & impact- Create autonomous AI agents for 24/7 customer support, question resolution, and process automation.
- Develop intelligent workflows to identify opportunities, nurture leads, and accelerate the sales cycle.
- Design n8n automations to connect the entire customer journey, from first contact through post-sales support.
- Work with OpenAI, Anthropic, and Google models, creating precise, human-centered prompts for customer interactions.
- Integrate WhatsApp, chat, email, CRM, and other tools through APIs.
- Collaborate with Product, Sales, and Customer Success teams to transform customer support challenges into innovative solutions.
- Experiment with technologies to improve response times, customer satisfaction, and conversion rates.
- Document, optimize, and ensure automations are scalable, reliable, and measurable.
Requirements
What you’ll need- Hands-on expertise with n8n: You have built complex automations and know how to get the most out of the platform.
- Knowledge of LLMs (Large Language Models) and their real-world applications, beyond theory.
- Ability to make AI deliver exactly what is needed through effective prompt engineering.
- Experience with REST APIs, webhooks, and OAuth.
- Programming logic and understanding of data structures.
- Daily use of ChatGPT, Claude, and other AI tools, with an interest in keeping up with the latest developments.
- Ability to analyze requirements and turn them into automated solutions.
- Clear communication and strong teamwork skills.
- Practical experience with customer support platforms, chatbots, or omnichannel solutions is a plus.
- Knowledge of Python, JavaScript, or other programming languages is a plus.
- Understanding of customer support metrics (CSAT, NPS, response time) and sales processes (qualification, pipeline, conversion) is a plus.
- Knowledge of RAG, embeddings, and vectorization is a plus.
- Experience with Make, Zapier, or other low-code/no-code platforms is a plus.
- Experience with data and BI tools is a plus.