Pyyne - AI Automation Engineer
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Requirements
• 3+ years of overall engineering experience, with at least 1–2 years working with AI/LLM tools in production • 3+ years of experience working with APIs, webhooks, and data transformation • 2+ years of experience with Python as a primary language • 2+ years of experience with workflow automation platforms (n8n, Zapier, Make, etc.) • Comfort working with JavaScript and/or TypeScript as needed • Proven ability to work directly with non-technical stakeholders — you can run a discovery session, not just a standup • Ability to scope your own work — you can walk out of a client meeting and know what to build next • Experience with RAG pipelines, vector databases, or agent frameworks • Background in consulting, professional services, or client-facing engineering • Familiarity with process mapping or business analysis methodologies • Experience building internal tooling or lightweight dashboards
Responsibilities
• Run structured discovery sessions with clients to map current workflows, pain points, and manual bottlenecks • Identify realistic AI automation opportunities — and just as importantly, tell clients when AI isn't the right tool • Build business cases for automation initiatives: time saved, error reduction, cost impact • Prioritize a roadmap of opportunities based on feasibility, ROI, and client readiness • Maintain trust with clients by setting honest expectations and delivering on them • Translate discovery findings into working automations using tools like n8n, Zapier, Make, LangChain, or custom Python pipelines • Integrate LLMs (OpenAI, Claude, Gemini, etc.) into internal tools, data pipelines, and business processes • Write clean, maintainable code — Python primarily, with some JS/TS as needed • Monitor, maintain, and iterate on automations post-launch
Benefits
• Flexible remote working environment. • Career development opportunities in a fast-growing company.
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