AI Solutions Engineer – Agents & Automation

This is a fully remote position, open to applicants in Macedonia.

📋 Description

• Design and develop AI agents and automations for clients in the cannabis/CPG sector.

• Understand customer workflows by collaborating with frontline personnel and converting implicit rules and exceptions into clear logic.

• Evaluate technical feasibility and decide the balance between agents and human oversight.

• Convert customer requirements into solution designs, effort assessments, project scopes, proofs of concept, and demonstrations.

• Estimate costs related to model usage, infrastructure, and maintenance.

• Engage in customer discovery calls.

• Create, implement, and launch AI agents and automations for complex customer operation workflows.

• Develop integrations with CRMs, ERPs, accounting software, email, messaging services, and document storage using APIs and browser automation.

• Write production-quality Python code for integrations, data transformations, and agent tools.

• Utilize SQL to verify agent outputs, reconcile records, and assess accuracy.

• Implement error handling, retry mechanisms, idempotency, logging, alerting, and smooth fallbacks.

• Establish testing and evaluation protocols, including test sets, regression checks, and accuracy tracking.

• Architect deployments to safeguard each customer's data, credentials, and permissions.

• Transition live agents to Operations Managers with runbooks, monitoring dashboards, review queues, and escalation paths.

• Train Operations Managers to oversee agent performance and manage routine exceptions.

• Act as the technical escalation point for agent failures and modifications in customer systems.

• Create reusable components, templates, and deployment patterns based on deployment insights.

• Measure and report customer impact against established baselines, including time saved, turnaround times, error rates, and cost per operation.

• Establish workflow baselines and deliver consistent measurable enhancements.

• Reduce the time from signed agreements to measurable outcomes for customers.

• Empower Operations Managers to operate agents with minimal engineering input.

• Assist with customer renewals and expansions through sustained performance.

⛳️ Requirements

• A minimum of 3 years of experience in professional software engineering, solutions engineering, or automation engineering.

• Evidence of recent production-level LLM workflows utilizing Claude, OpenAI, or a comparable platform relied upon by real users.

• Proficient in Python, including code structuring, testing, and debugging.

• Strong SQL capabilities, including knowledge of joins, CTEs, window functions, and data quality troubleshooting.

• Experience in browser automation with Playwright or a similar tool.

• Familiarity with REST APIs, webhooks, OAuth, pagination, and rate limits across various third-party platforms.

• Proven ability to troubleshoot production failures using logs and stack traces, identify root causes, and implement permanent solutions.

• Comfort with Bash and command line for tasks such as deployment, scheduling, and debugging.

• Experience with Git and version control systems.

• Skills in workflow discovery, including interviewing process owners and converting implicit knowledge into explicit rules.

• Empathy for operators and the ability to articulate technical trade-offs in straightforward language.

• Comfort in customer-facing environments, capable of conducting technical discussions and managing project scope.

• Strong habits of documentation.

• Experience with the Claude API, Claude Agent SDK, or Claude Code is a plus.

• Working knowledge of TypeScript / JavaScript (Node.js) is advantageous.

• Familiarity with Model Context Protocol (MCP) is desirable.

• Experience in developing tool-using AI agents for multi-step workflows is beneficial.

• Prior experience in solutions engineering, sales engineering, consulting, or agency work is a plus.

• Integration experience with Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, or Google Workspace is advantageous.

• Familiarity with n8n, Make, or Zapier is a bonus.

• Experience with cloud deployment in AWS, GCP, or Azure, including containers and serverless functions, is advantageous.

• Understanding of multi-tenant architecture and familiarity with security reviews, SOC 2, or customer data protection standards is a plus.

• Experience in document and data extraction from invoices, PDFs, and spreadsheets is desirable.

• A background in finance, accounting, or back-office operations is a plus.

• Experience collaborating with distributed, international teams is beneficial.

🏝️ Benefits

• Enjoy the flexibility of working fully remotely in a collaborative setting.

• Develop and apply your AI engineering skills by designing AI agents and automation solutions for real-world business challenges.

• Collaborate directly with leading U.S. cannabis companies, contributing to solutions that enhance their operational efficiency and scalability.

• Advance your career through hands-on ownership, exposure to cutting-edge AI technologies, and ongoing learning opportunities.