{"id":1054694,"url":"https://alion.io/job/headquarters-ai-solutions-engineer-agents-automation","title":"AI Solutions Engineer - Agents & Automation","company":{"id":680738,"name":"Headquarters","domain":"tryheadquarters.com","url":"https://alion.io/company/tryheadquarters","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["MX","RS"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":108000,"period":"year","method":null,"sample_n":5708},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Claude Code","optional":true},{"name":"GCP","optional":true},{"name":"Google Workspace","optional":true},{"name":"JavaScript","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"n8n","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"QuickBooks","optional":true},{"name":"SOC 2","optional":true},{"name":"TypeScript","optional":true},{"name":"Zapier","optional":true}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-15T19:44:21Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"About Us\nHeadQuarters 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.\nThe Role\nWe'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.\nOnce 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.\nEvery 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.\nWhat You'll Do\n Discovery and Scoping (with the AI Sales Lead)\nJoin customer discovery calls to understand their workflows, systems, data, and pain points\nSit 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\nBuild trust with the people whose work you're automating, and treat them as the experts on their process\nAssess technical feasibility and identify which tasks are good candidates for an agent and where human review should stay in the loop\nTranslate customer needs into solution designs, effort estimates, and clear scope\nBuild proofs of concept and demos that show customers what an agent can do with their own workflows\nProvide build and run cost estimates (model usage, infrastructure, maintenance) to support pricing\nBuild and Deploy\nDesign, build, and deploy AI agents and automations that handle multi-step workflows across customer operations\nBuild 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\nWrite production-quality Python for integrations, data transformation, and agent tooling\nUse SQL to validate agent outputs, reconcile records across systems, and measure accuracy\nBuild error handling, retries, idempotency, logging, alerting, and graceful fallbacks into everything you ship\nCreate testing and evaluation processes for each agent: test sets, regression checks, and accuracy tracking before go-live and after every change\nArchitect deployments so each customer's data, credentials, and permissions stay fully isolated\nHandoff and Support\nHand off live agents to Operations Managers with runbooks, monitoring dashboards, review queues, and clear escalation paths\nTrain Operations Managers to supervise agent output, spot problems early, and handle routine exceptions without engineering help\nServe as the technical escalation point when an agent fails or a customer's systems change\nUse what you learn from each deployment to build reusable components, templates, and deployment patterns that make the next customer faster to deliver\nMeasure and report impact for each customer against a baseline: hours saved, turnaround time, error rates, and cost per run\nFirst-Year Mission\nYour first year is measured by the operating results customers see, not by how many agents you deliver.\nEstablish a baseline for every customer workflow you take on: hours spent, turnaround time, error rates, and cost\nDeliver measurable, sustained improvements against those baselines for customers across multiple industries\nShorten the time from signed agreement to measurable customer results\nHand off agents that Operations Managers run day to day with minimal engineering involvement\nEarn renewals and expansions because the results hold up over time\nRequirements\nSeveral years of professional software engineering, solutions engineering, or automation engineering experience\nProof of recent production LLM workflows: something you built with Claude, OpenAI, or a similar platform that real users rely on\nStrongPython: you structure, test, and debug your code, and you understand what AI-generated code is doing before you ship it\nStrong SQL: joins, CTEs, window functions, and tracking down data quality problems\nBrowser automation experience with Playwright or a similar tool, for systems with limited or no APIs\nSolid experience with REST APIs, webhooks, OAuth, pagination, and rate limits across a wide range of third-party platforms\nA track record of troubleshooting production failures: reading logs and stack traces, isolating root causes, and fixing them permanently\nComfort with Bash and the command line for deployment, scheduling, and debugging\nGit and version control as a standard part of how you work\nWorkflow discovery skills: you can interview the people who do the work, uncover the steps and exceptions they don't think to mention, and turn tacit knowledge into explicit rules\nOperator empathy: you build trust with frontline staff, treat them as the experts on their work, and explain technical tradeoffs in plain language\nComfort in customer-facing settings: you can run a technical conversation with a customer and push back on scope when needed\nStrong documentation habits, since the people running your agents day to day won't be engineers\nNice to Have\nExperience with the Claude API, Claude Agent SDK, or Claude Code\nWorking proficiency in TypeScript / JavaScript (Node.js)\nExperience with Model Context Protocol (MCP), including building or configuring MCP servers\nExperience building tool-using AI agents that run multi-step workflows\nPrior solutions engineering, sales engineering, consulting, or agency experience delivering technical projects for multiple clients\nIntegration experience with common business platforms such as Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, and Google Workspace\nExperience with workflow platforms such as n8n, Make, or Zapier, and good judgment on when a workflow should move from no-code to code\nCloud deployment experience (AWS, GCP, or Azure), including containers and serverless functions\nMulti-tenant architecture and familiarity with security reviews, SOC 2, or customer data protection requirements\nDocument and data extraction from invoices, PDFs, and spreadsheets\nBackground in finance, accounting, or back-office operations\nExperience working with distributed, international teams\nHow We'll Evaluate\n We care about what you've actually built and whether you understand it. Expect to:\nWalk us through an LLM workflow or automation you built and shipped: the architecture, what broke, and how you fixed it\nComplete a practical exercise debugging and hardening an existing automation\nTake part in a mock customer discovery conversation, including interviewing a frontline operator about their workflow, then outline how you'd scope, build, and hand off an agent for that customer\nBenefits\nWork fully remotely in a flexible and collaborative environment\nBuild and apply your AI engineering expertise by designing AI agents and automation solutions for real-world business challenges\nWork directly with leading U.S. cannabis companies, helping build solutions that improve how their teams operate and scale\nGrow your career through hands-on ownership, exposure to emerging AI technologies, and continuous learning\nOur Values\nWe are guided by curiosity, collaboration, and persistence. We seek to understand deeply, work collectively to solve complex challenges, and remain resilient in pursuit of meaningful, long-term impact. These principles shape how we operate as a team and how we support the success of our clients.\nTake a look at this short video featuring a few words from the CEO about our company, industry insights, and founding HQ!\nLooking forward to meeting you!\nwww.tryheadquarters.com","description_format":"text","description_chars":8446,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"},{"name":"Serbia","iso":"RS","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Accounting & Bookkeeping Services"],"lifecycle":[{"event":"open","at":"2026-09-19T01:48:27Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.736,"p_room":0.55,"age_days":27,"expected_fill_days":26,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/headquarters-ai-solutions-engineer-agents-automation","json_url":"https://alion.io/job/headquarters-ai-solutions-engineer-agents-automation.json","meta":{"generated_at":"2026-10-15T19:49:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30144,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":680738},"rest":"https://alion.io/mcp/rest/get_company?id=680738"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fheadquarters-ai-solutions-engineer-agents-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fheadquarters-ai-solutions-engineer-agents-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fheadquarters-ai-solutions-engineer-agents-automation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/headquarters-ai-solutions-engineer-agents-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fheadquarters-ai-solutions-engineer-agents-automation"}]}