AI Solutions Engineer – Agents & Automation

This is a fully remote position, open to applicants in Serbia, +1 more country.

📋 Description

• Understand customer workflows by collaborating with frontline staff and convert rules and exceptions into clear logic.

• Establish trust with the personnel whose tasks are being automated.

• Evaluate technical feasibility and identify where human agents and reviews are necessary.

• Transform customer requirements into solution designs, effort assessments, and project scopes.

• Develop proofs of concept and demonstrations based on customer workflows.

• Calculate model usage, infrastructure, and maintenance expenses.

• Participate in customer discovery calls.

• Design, create, and implement AI agents and automation for complex customer operation workflows.

• Integrate CRMs, ERPs, accounting software, email, messaging, and document storage through APIs and browser automation.

• Write production-ready Python code for integrations, data transformation, and agent tools.

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

• Implement error management, retries, idempotency, logging, alerting, and smooth fallbacks.

• Develop testing and evaluation protocols, including test sets, regression evaluations, and accuracy monitoring.

• Design isolated deployments for customer data, credentials, and permissions.

• Transfer live agents to Operations Managers equipped with runbooks, dashboards, review queues, and escalation protocols.

• Educate Operations Managers on supervising agent output and managing routine exceptions.

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

• Create reusable components, templates, and deployment strategies.

• Measure and report the impact on customers against baselines for hours saved, turnaround times, error rates, and cost per operation.

• Set workflow baselines and deliver sustained, measurable enhancements.

• Shorten the duration from signed agreement to observable customer outcomes.

• Enable Operations Managers to operate agents with minimal engineering assistance.

• Assist customer renewals and expansions through consistent results.

• Engage in recruitment discussions, take-home assessments, technical interviews, SQL conversations, and the CEO's final interview.

⛳️ Requirements

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

• Evidence of recent production LLM workflows utilizing Claude, OpenAI, or a comparable platform that end users depend on.

• Proficient in Python; capable of structuring, testing, and debugging code, as well as understanding AI-generated code prior to deployment.

• Strong SQL skills, including joins, CTEs, window functions, and data quality troubleshooting.

• Experience with browser automation tools like Playwright or similar.

• Knowledge of REST APIs, webhooks, OAuth, pagination, and rate limits across third-party platforms.

• Proven track record in diagnosing production failures using logs and stack traces, identifying root causes, and implementing permanent fixes.

• Familiarity with Bash and command line for deployment, scheduling, and debugging tasks.

• Experience with Git and version control systems.

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

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

• Comfortable in customer-facing roles and leading technical discussions with clients.

• Strong documentation practices.

• Nice to have: Experience with Claude API, Claude Agent SDK, or Claude Code.

• Nice to have: Knowledge of TypeScript / JavaScript (Node.js).

• Nice to have: Familiarity with Model Context Protocol (MCP), including building or configuring MCP servers.

• Nice to have: Experience with tool-using AI agents for multi-step workflows.

• Nice to have: Background in solutions engineering, sales engineering, consulting, or agency work.

• Nice to have: Integrations with Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, and Google Workspace.

• Nice to have: Experience with n8n, Make, or Zapier.

• Nice to have: Cloud deployment experience with AWS, GCP, or Azure, including containers and serverless functions.

• Nice to have: Knowledge of multi-tenant architecture, security reviews, SOC 2 compliance, or customer data protection.

• Nice to have: Experience with document and data extraction from invoices, PDFs, and spreadsheets.

• Nice to have: Background in finance, accounting, or back-office operations.

• Nice to have: Experience working with distributed, international teams.

🏝️ Benefits

• Work fully remotely within a collaborative environment.

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

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

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