[Hiring] AI Solutions Engineer @HeadQuarters

Role Description

We're hiring an engineer to design and build AI agents and automations for our external customers in the fast growing Cannabis / CPG industry. You'll partner with our team from the first conversation through delivery:

• Understanding a customer's workflows
• Scoping what an agent should own
• Building it on top of their systems
• Ensuring it runs reliably in production

The most important part of this job is learning how a customer's work actually gets done:

• Sitting with their frontline staff
• Earning their trust
• Turning unwritten rules and exceptions into logic a system can follow

Once an agent is live, you'll hand it off to one of our Operations Managers, who oversee the agent's day-to-day work and output on the customer's behalf.

Every customer runs on a different stack, so this role calls for real engineering depth. We're looking for a strong developer who has recently put LLM-powered workflows into production.

Qualifications

• Several years of professional software engineering, solutions engineering, or automation engineering experience
• Proof of recent production LLM workflows: something you built with Claude, OpenAI, or a similar platform that real users rely on
• Strong Python: you structure, test, and debug your code, and you understand what AI-generated code is doing before you ship it
• Strong SQL: joins, CTEs, window functions, and tracking down data quality problems
• Browser automation experience with Playwright or a similar tool
• Solid experience with REST APIs, webhooks, OAuth, pagination, and rate limits
• A track record of troubleshooting production failures
• Comfort with Bash and the command line for deployment, scheduling, and debugging
• Git and version control as a standard part of how you work
• Workflow discovery skills
• Operator empathy
• Comfort in customer-facing settings
• Strong documentation habits

Requirements

• Discovery and Scoping (with the AI Sales Lead)
• Join customer discovery calls to understand their workflows, systems, data, and pain points
• Sit with customers' frontline staff to learn how the work actually gets done
• Build trust with the people whose work you're automating
• Assess technical feasibility and identify which tasks are good candidates for an agent
• Translate customer needs into solution designs, effort estimates, and clear scope
• Build proofs of concept and demos
• Provide build and run cost estimates
• Design, build, and deploy AI agents and automations
• Build and configure integrations
• Write production-quality Python for integrations, data transformation, and agent tooling
• Use SQL to validate agent outputs
• Build error handling, retries, idempotency, logging, alerting, and graceful fallbacks
• Create testing and evaluation processes for each agent
• Architect deployments to keep customer data isolated
• Hand off live agents to Operations Managers
• Train Operations Managers to supervise agent output
• Serve as the technical escalation point
• Measure and report impact for each customer against a baseline

Benefits

• 🌍 Work fully remotely in a flexible and collaborative environment
• 🤖 Build and apply your AI engineering expertise
• 💼 Work directly with leading U.S. cannabis companies
• 📈 Grow your career through hands-on ownership and continuous learning

Company Description

HeadQuarters is a global start-up that partners with US cannabis companies to provide support in finance, sales operations, and logistics.