AI Operations Engineer

Accountabilities

• Build and ship AI-powered tools, including plugins, skills, MCP connectors, and intelligent agents that automate workflows and improve operational efficiency.
• Develop and operate internal AI agent platforms, including triggers, configurations, integrations, and governed workflows.
• Create reusable components and services using Python and TypeScript/JavaScript to support scalable AI operations.
• Integrate third-party APIs and business applications to streamline processes across departments.
• Maintain and monitor deployed AI solutions, including connectors and internal tool ecosystems, while quickly resolving issues.
• Collaborate directly with teams such as Finance, HR, Sales, Support, and Engineering to deliver tailored automation solutions.
• Translate business requests into technical specifications, prioritize opportunities, and deliver practical solutions with measurable value.
• Promote responsible AI adoption by advocating for effective workflows and helping teams leverage AI tools to improve productivity.
• Support data-related initiatives through SQL queries, reporting, and lightweight analytics when needed.

Requirements

• The ideal candidate is a technically strong engineer with experience building AI-enabled solutions, integrating systems, and operating effectively in a fast-paced environment.
• Strong hands-on experience with LLM technologies, including Claude, Model Context Protocol (MCP), AI agents, and prompt/context engineering.
• 3+ years of software engineering experience using Python and/or TypeScript/JavaScript.
• Proven experience using AI development tools such as GitHub Copilot, Claude Code, or similar technologies to improve engineering velocity.
• Experience integrating REST APIs and building reliable, documented services or reusable technical components.
• A strong understanding of security principles when handling sensitive business information through integrations and AI workflows.
• Ability to work independently, define solutions from ambiguous requirements, and make sound technical decisions.
• Experience integrating common SaaS platforms through APIs and automation workflows.
• Ability to work remotely with availability overlapping U.S. Eastern Time business hours.

Benefits

• Competitive U.S. base salary range of $130,000 - $145,000 USD.
• Fully remote work environment with flexibility and autonomy.
• Comprehensive medical, dental, and vision benefits for eligible employees.
• Short-term disability, life insurance, and long-term disability coverage options.
• Retail savings plan options with company matching for qualifying employees.
• Flexible vacation policy.
• Paid company-wide week off at the end of each year.
• Opportunities for career growth and increased responsibilities based on performance and impact.
• Access to company swag and team-building experiences.
• Annual in-person company gatherings and opportunities to connect with colleagues.
• Opportunity to work with innovative AI technologies and shape AI adoption across an organization.