AI Automation Engineer

Tech Systems Inc. (TSi) is hiring an early-career AI Automation Engineer to build, test, deploy, and maintain AI agents and integrations for its internal operations and clients. The role emphasizes secure, privacy-protective agent engineering, cloud deployment, and collaboration with senior technology staff.

What you'll do:

• Build, test, and deploy AI agents that automate multi-step business workflows using tool calling, function calling, and the Model Context Protocol (MCP)
• Integrate agents with TSi business systems (e.g., NetSuite, ServiceNow, CPQ, Smartsheet) through APIs and secure connectors
• Support the deployment of AI agents and applications to cloud environments (Azure, AWS, or Google Cloud), including configuring services, managing secrets, and monitoring performance
• Maintain code in source control, participate in code review, write automated tests, and document deployments
• Scope every agent to least privilege: only the tools, data, and permissions the task requires
• Build defenses against prompt injection, data exfiltration, insecure output handling, and excessive agent autonomy (per the OWASP Top 10 for LLM Applications)
• Require human-in-the-loop approval for high-impact actions (financial transactions, record changes, external communications)
• Manage API keys and credentials through approved secrets management; never hard-code secrets
• Log agent actions, tool calls, and decisions to support auditing and incident investigation
• Test agents for security issues before release, including basic red-teaming with guidance from senior staff; document risks and mitigations for review by the CTO and Senior Director of Technology
• Minimize, mask, or redact employee and client PII before it reaches a model or third-party service
• Follow TSi data classification policy on which data may be used with which models and vendors

What they're looking for:

• Has built at least one working AI agent (personal, academic, or professional project)
• A portfolio, repository, or walkthrough is required
• Familiarity with Git or equivalent version control
• Please be prepared to share a repository (e.g., GitHub, GitLab) that shows your commit history on a personal, academic, or open-source project
• 0–2 years of software development experience, including internships or substantial personal projects
• Proficiency in TypeScript and/or Python; solid with REST APIs, JSON, webhooks, and SQL
• Hands-on experience (professional or project-based) with a major model's APIs (e.g., Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI)
• Familiarity with agent frameworks and tooling such as the Claude Agent SDK, OpenAI Agents SDK, or equivalent
• Working understanding of secure development practices for AI: prompt injection mitigation, least-privilege tool design, secrets management, input/output validation, and audit logging
• Ability to explain technical decisions and risks
• Focus on getting working agents into use, and learns quickly from feedback
• Treats security and privacy as design requirements, not afterthoughts