About Us
HeadQuarters is a global start-up that partners with US cannabis companies to provide support in finance, sales operations, and logistics. We are currently seeking an AI Solutions Engineer to join our growing product development team.

The Role

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, and making sure 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, and 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, and you don't need a long AI resume to have it. We're looking for a strong developer who has recently put LLM-powered workflows into production. Plenty of people can prompt their way to a working prototype. We need someone who can own the code behind it, troubleshoot it inside an unfamiliar environment, and harden it so it holds up long after you've moved on to the next customer.

What You'll Do

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, capture the rules and exceptions that live in people's heads, and translate them into explicit logic
Build trust with the people whose work you're automating, and treat them as the experts on their process
Assess technical feasibility and identify which tasks are good candidates for an agent and where human review should stay in the loop
Translate customer needs into solution designs, effort estimates, and clear scope
Build proofs of concept and demos that show customers what an agent can do with their own workflows
Provide build and run cost estimates (model usage, infrastructure, maintenance) to support pricing

Build and Deploy

Design, build, and deploy AI agents and automations that handle multi-step workflows across customer operations
Build and configure integrations that link each customer's tools, such as CRMs, ERPs, accounting platforms, email, messaging, and document storage, using APIs where they exist and browser automation where they don't
Write production-quality Python for integrations, data transformation, and agent tooling
Use SQL to validate agent outputs, reconcile records across systems, and measure accuracy
Build error handling, retries, idempotency, logging, alerting, and graceful fallbacks into everything you ship
Create testing and evaluation processes for each agent: test sets, regression checks, and accuracy tracking before go-live and after every change
Architect deployments so each customer's data, credentials, and permissions stay fully isolated

Handoff and Support

Hand off live agents to Operations Managers with runbooks, monitoring dashboards, review queues, and clear escalation paths
Train Operations Managers to supervise agent output, spot problems early, and handle routine exceptions without engineering help
Serve as the technical escalation point when an agent fails or a customer's systems change
Use what you learn from each deployment to build reusable components, templates, and deployment patterns that make the next customer faster to deliver
Measure and report impact for each customer against a baseline: hours saved, turnaround time, error rates, and cost per run

First-Year Mission

Your first year is measured by the operating results customers see, not by how many agents you deliver.

Establish a baseline for every customer workflow you take on: hours spent, turnaround time, error rates, and cost
Deliver measurable, sustained improvements against those baselines for customers across multiple industries
Shorten the time from signed agreement to measurable customer results
Hand off agents that Operations Managers run day to day with minimal engineering involvement
Earn renewals and expansions because the results hold up over time

Requirements

Several years of professional

AI Solutions Engineer - Agents & Automation at HeadQuarters