AI Solutions Engineer – Agents & Automation

🔥 0 minutes ago

🌐 Serbia, Mexico – Remote

🇷🇸 Serbia – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

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

• Learn customers' workflows by working with frontline staff and translate rules and exceptions into explicit logic • Build trust with the people whose work is being automated • Assess technical feasibility and determine where agents and human review should be used • Translate customer needs into solution designs, effort estimates, and scope • Build proofs of concept and demos using customer workflows • Estimate model usage, infrastructure, and maintenance costs • Join customer discovery calls • 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 and 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, including test sets, regression checks, and accuracy tracking • Architect isolated deployments for 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 against baselines for 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 • Enable Operations Managers to run agents with minimal engineering involvement • Support customer renewals and expansions through durable results • Participate in recruitment conversation, take-home assessment, technical interview, SQL discussion, and CEO final interview

🎯 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; ability to structure, test, and debug code and understand AI-generated code before shipping • Strong SQL, including joins, CTEs, window functions, and data quality troubleshooting • Browser automation experience with Playwright or a similar tool • 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 fixing them permanently • 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 leading technical conversations with customers • Strong documentation habits • Nice to have: Claude API, Claude Agent SDK, or Claude Code experience • Nice to have: TypeScript / JavaScript (Node.js) • Nice to have: Model Context Protocol (MCP), including building or configuring MCP servers • Nice to have: tool-using AI agents for multi-step workflows • Nice to have: solutions engineering, sales engineering, consulting, or agency experience • Nice to have: integrations with Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, and Google Workspace • Nice to have: n8n, Make, or Zapier experience • Nice to have: AWS, GCP, or Azure cloud deployment, containers, and serverless functions • Nice to have: multi-tenant architecture, security reviews, SOC 2, or customer data protection • Nice to have: document and data extraction from invoices, PDFs, and spreadsheets • Nice to have: finance, accounting, or back-office operations background • Nice to have: experience working with distributed, international teams

🏖️ 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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