AI Solutions Engineer
Seeking an AI Solutions Engineer to build automated, AI-powered business systems. This role involves mapping manual processes, designing workflows, deploying AI agents, and integrating internal systems using LLM APIs, RAG, and agent memory. Requires hands-on experience with automation platforms, AI coding tools, and system integration.
Responsibilities
- Map manual business processes across departments and identify automation opportunities.
- Own automation delivery from requirements to production, designing, building, testing, and shipping solutions.
- Build automated workflows using platforms like n8n, Zapier, Make, Tray.io, or Workato.
- Design, build, and deploy AI agents with LLM APIs for ticket classification, document data extraction, and automated summarization, applying RAG and memory patterns.
- Vibe code complete internal tools end-to-end using AI coding assistants, from prototype to production.
- Connect internal systems (CRM, ERP, ticketing, Google Workspace/Microsoft 365) via APIs and webhooks for AI-powered marketing and revenue workflows.
- Monitor, maintain, and improve existing automations, documenting processes and training internal process owners.
Requirements
- 3+ years of hands-on experience building automations or AI-powered workflows.
- Solid working knowledge of LLMs, their capabilities, limitations, and reliable output generation.
- Hands-on experience with at least one AI automation/workflow platform (e.g., n8n, Zapier, Make, Tray.io, Workato).
- Comfortable vibe coding with AI coding tools (e.g., Cursor, Claude Code, Replit) to build and ship projects end-to-end.
- Understanding of AI agent workflows, RAG, and agent memory concepts.
- Automation-first mindset with experience on a complex business systems stack (Salesforce, HubSpot, NetSuite, Gong, or equivalent).
- Excellent communication skills with ability to simplify complex operational processes for executives and cross-functional partners.
Nice to have
- Experience automating or supporting GTM/Revenue-adjacent processes.
- Familiarity with revenue and marketing systems and workflows (CRM data flows, campaign automation, lead scoring, or pipeline reporting).