AI Solutions Engineer – Agents & Automation

🔥 1 hour ago

🇲🇰 North Macedonia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.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

• Design and build AI agents and automations for external customers in the cannabis/CPG industry • Learn customer workflows by working with frontline staff and translate unwritten rules and exceptions into explicit logic • Assess technical feasibility and determine where agents and human review should be used • Translate customer needs into solution designs, effort estimates, scope, proofs of concept, and demos • Estimate model usage, infrastructure, and maintenance costs • Participate in customer discovery calls • Design, build, and deploy AI agents and automations for multi-step customer operations workflows • Build integrations with CRMs, ERPs, accounting platforms, email, messaging, and document storage using APIs and browser automation • Write production-quality Python for integrations, data transformation, and agent tooling • Use SQL to validate agent outputs, reconcile records, and measure accuracy • Implement error handling, retries, idempotency, logging, alerting, and graceful fallbacks • Create testing and evaluation processes, including test sets, regression checks, and accuracy tracking • Architect deployments to isolate each customer's data, credentials, and permissions • Hand off live agents to Operations Managers with runbooks, monitoring dashboards, review queues, and escalation paths • Train Operations Managers to supervise agent output and handle routine exceptions • Serve as the technical escalation point for agent failures and customer system changes • Build reusable components, templates, and deployment patterns from deployment learnings • Measure and report customer impact against baselines, including hours saved, turnaround time, error rates, and cost per run • Establish workflow baselines and deliver sustained measurable improvements • Shorten the time from signed agreement to measurable customer results • Enable Operations Managers to run agents with minimal engineering involvement • Support customer renewals and expansions through sustained results

🎯 Requirements

• 3+ years of professional software engineering, solutions engineering, or automation engineering experience • Proof of recent production LLM workflows using 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 across third-party platforms • Track record of troubleshooting production failures using logs and stack traces, isolating root causes, and implementing permanent fixes • Comfort with Bash and the command line for deployment, scheduling, and debugging • Git and version control experience • Workflow discovery skills, including interviewing process owners and translating tacit knowledge into explicit rules • Operator empathy and ability to explain technical tradeoffs in plain language • Comfort in customer-facing settings and ability to conduct technical conversations and manage scope • Strong documentation habits • Experience with the Claude API, Claude Agent SDK, or Claude Code is nice to have • Working proficiency in TypeScript / JavaScript (Node.js) is nice to have • Experience with Model Context Protocol (MCP) is nice to have • Experience building tool-using AI agents for multi-step workflows is nice to have • Prior solutions engineering, sales engineering, consulting, or agency experience is nice to have • Integration experience with Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, or Google Workspace is nice to have • Experience with n8n, Make, or Zapier is nice to have • Cloud deployment experience with AWS, GCP, or Azure, including containers and serverless functions, is nice to have • Multi-tenant architecture and familiarity with security reviews, SOC 2, or customer data protection requirements is nice to have • Document and data extraction from invoices, PDFs, and spreadsheets is nice to have • Background in finance, accounting, or back-office operations is nice to have • Experience working with distributed, international teams is nice to have

🏖️ Benefits

• Work fully remotely in a 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, helping build solutions that improve how their teams operate and scale • Grow your career through hands-on ownership, exposure to emerging AI technologies, and continuous learning

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