AI Solutions Engineer – Agents & Automation

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

📋 Description

• Participate in customer discovery calls to gain insights into workflows, systems, data, and challenges.

• Understand frontline processes, rules, and exceptions, and convert them into clear logic.

• Evaluate technical feasibility and identify where human oversight is necessary.

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

• Develop proofs of concept and conduct customer demonstrations.

• Calculate model usage, infrastructure, and ongoing maintenance costs.

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

• Integrate CRMs, ERPs, accounting systems, email, messaging, and document storage via APIs or browser automation.

• Write high-quality Python code for integrations, data transformation, and agent tools.

• Utilize SQL for output validation, record reconciliation, and accuracy measurement.

• Implement error handling, retries, idempotency, logging, alerting, and graceful fallback mechanisms.

• Establish testing and evaluation processes, regression checks, and accuracy monitoring.

• Architect isolated customer data, credentials, and permissions securely.

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

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

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

• Develop reusable components, templates, and deployment strategies.

• Measure and report on customer impact, including time saved, turnaround times, error rates, and costs per operation.

• Establish workflow baselines and deliver ongoing measurable improvements.

• Reduce the time from signed agreement to tangible customer results.

• Assist in renewals and expansions through sustainable customer outcomes.

⛳️ Requirements

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

• Evidence of recent production-level LLM workflows created with Claude, OpenAI, or similar platforms that are utilized by real users.

• Proficient in Python, with capabilities in structuring, testing, and debugging code.

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

• Experience with browser automation using Playwright or a comparable tool.

• Familiarity with REST APIs, webhooks, OAuth, pagination, and rate limits.

• Proven track record of troubleshooting production failures using logs and stack traces.

• Comfortable using Bash and the command line interface.

• Experience with Git and version control systems.

• Skills in workflow discovery and the ability to articulate tacit knowledge into explicit rules.

• Empathy for operators and the capability to explain technical trade-offs in simple language.

• Comfortable in customer-facing technical roles.

• Strong documentation practices.

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

• Nice to have: Proficiency in TypeScript/JavaScript and Node.js.

• Nice to have: Familiarity with Model Context Protocol (MCP).

• Nice to have: Experience with tool-using AI agents.

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

• Nice to have: Integration experience with Salesforce, HubSpot, NetSuite, QuickBooks, Microsoft 365, or Google Workspace.

• Nice to have: Familiarity with automation tools like n8n, Make, or Zapier.

• Nice to have: Deployment experience on AWS, GCP, or Azure, including containers and serverless functions.

• Nice to have: Understanding of multi-tenant architecture and security reviews, including SOC 2 and customer data protection.

• Nice to have: Experience in document and data extraction.

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

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

• Must provide walkthrough of a shipped LLM workflow or automation.

• Must complete a practical debugging and hardening task.

• Must engage in a mock customer discovery session.

🏝️ Benefits

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

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

• Collaborate directly with leading U.S. cannabis companies.

• Experience career growth through hands-on ownership, exposure to emerging AI technologies, and ongoing learning.