AI Solutions Engineer – Agents & Automation

🔥 14 hours ago

🌐 Serbia, Mexico – Remote

🇷🇸 Serbia – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HeadQuarters

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

💸 Finance

Consulting • Marketing • Finance

HeadQuarters is a company that specializes in providing transparent staffing and shared services exclusively to cannabis businesses. Since 2018, they have been supporting growing cannabis companies by offering integrated industry experts to accelerate processes and enhance team productivity. Their services include accounting, sales administration, marketing, and managing cannabis collections, with a focus on improving cashflow reporting and increasing operational efficiency. Trusted by over 15 leading cannabis companies, HeadQuarters has processed thousands of SKUs, deliveries, and sales orders, delivering significant savings and operational gains to their clients.

📋 Description

• Join customer discovery calls to understand workflows, systems, data, and pain points • Learn frontline processes, rules, and exceptions and translate them into explicit logic • Assess technical feasibility and determine where human review should remain in the loop • Translate customer needs into solution designs, estimates, and scope • Build proofs of concept and customer demos • Estimate model usage, infrastructure, and maintenance costs • Design, build, and deploy AI agents and automations for multi-step customer operations workflows • Integrate CRMs, ERPs, accounting platforms, email, messaging, and document storage using APIs or browser automation • Write production-quality Python for integrations, data transformation, and agent tooling • Use SQL to validate outputs, reconcile records, and measure accuracy • Implement error handling, retries, idempotency, logging, alerting, and graceful fallbacks • Create testing and evaluation processes, regression checks, and accuracy tracking • Architect isolated customer data, credentials, and permissions • Hand off live agents to Operations Managers with runbooks, dashboards, review queues, and escalation paths • Train Operations Managers to supervise agent output and handle routine exceptions • Serve as technical escalation point for agent failures and customer system changes • Build reusable components, templates, and deployment patterns • Measure and report customer impact, including hours saved, turnaround time, error rates, and cost per run • Establish workflow baselines and deliver sustained measurable improvements • Shorten time from signed agreement to measurable customer results • Support renewals and expansions through durable customer outcomes

🎯 Requirements

• Several years of professional software engineering, solutions engineering, or automation engineering experience • Proof of recent production LLM workflows built with Claude, OpenAI, or a similar platform that real users rely on • Strong Python skills, including structuring, testing, and debugging code • Strong SQL skills, including joins, CTEs, window functions, and data quality troubleshooting • Browser automation experience with Playwright or a similar tool • Experience with REST APIs, webhooks, OAuth, pagination, and rate limits • Track record of troubleshooting production failures using logs and stack traces • Comfort with Bash and the command line • Git and version control experience • Workflow discovery skills and ability to turn tacit knowledge into explicit rules • Operator empathy and ability to explain technical tradeoffs in plain language • Comfort in customer-facing technical settings • Strong documentation habits • Nice to have: Claude API, Claude Agent SDK, or Claude Code experience • Nice to have: TypeScript/JavaScript and Node.js proficiency • Nice to have: Model Context Protocol (MCP) experience • Nice to have: tool-using AI agent experience • Nice to have: solutions engineering, sales engineering, consulting, or agency experience • Nice to have: Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, or Google Workspace integration experience • Nice to have: n8n, Make, or Zapier experience • Nice to have: AWS, GCP, or Azure deployment experience, including containers and serverless functions • Nice to have: multi-tenant architecture and familiarity with security reviews, SOC 2, or customer data protection • Nice to have: document and data extraction experience • Nice to have: finance, accounting, or back-office operations background • Nice to have: distributed, international team experience • Must walk through a shipped LLM workflow or automation • Must complete a practical debugging and hardening exercise • Must participate in a mock customer discovery conversation

🏖️ Benefits

• Work fully remotely in a flexible and collaborative environment • Build and apply AI engineering expertise by designing AI agents and automation solutions for real-world business challenges • Work directly with leading U.S. cannabis companies • Career growth through hands-on ownership, exposure to emerging AI technologies, and continuous learning