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Turtle is a family-owned electrical distribution and industrial automation company founded in 1923. Its teams combine logistics, operations, product expertise, and engineering to support supply chain and energy management needs, including cybersecurity, digital infrastructure modernization, and materials management. Turtle serves customers through long-standing vendor partnerships and project teams focused on complex, mission-critical work. The company is a Certified Women’s Business Enterprise and operates across construction, consulting, and logistics.
Remote AI Operations Engineer in New Jersey
Build and operate enterprise AI agents, chatbots, and integrations for Turtle’s electrical distribution business. Help keep AI systems secure, governed, and reliable.
Сипаттама
- Develop and support AI agents and chatbots for internal business needs
- Turn stakeholder requirements into working solutions, then refine them using feedback and usage data
- Improve production agents and chatbots by tuning prompts and workflows, handling errors, and monitoring performance
- Move informally deployed AI tools onto centrally hosted, access-controlled enterprise platforms
- Work with Cyber Security and the AI Center of Excellence to apply governance, authentication, and access controls
- Administer and support NeuralSeek, Claude, and Copilot
- Track platform health, performance, and usage with Data Dog and other observability tools
- Assess new AI tools and recommend whether to adopt them
- Support Model Context Protocol (MCP) server infrastructure
- Build, test, and maintain API connections to enterprise applications and data sources
- Troubleshoot integration problems with internal teams and vendors
- Track and control token and API costs through allocation, budgeting, forecasting, and optimization
- Keep an inventory of production AI agents, bots, and integrations
- Help respond to AI outages, integration failures, and unexpected model behavior
- Assist with vendor relations, renewals, license reconciliation, and escalations
- Create training and guidance materials for business users
- Follow AI governance, data-handling, and security policies
- Document system architecture, configurations, and operational runbooks
Талаптар
- Bachelor’s degree in computer science, information technology, or a related discipline, or equivalent practical experience
- Three to five years in AI, automation, integration, DevOps, or AIOps engineering
- Hands-on experience building or supporting business AI agents or chatbots
- Working knowledge of REST APIs and experience building or maintaining integrations
- Strong troubleshooting ability across applications, integrations, and infrastructure
- Able to work independently and collaborate with IT, business, and security teams
- Familiarity with NeuralSeek, Claude, Microsoft Copilot, or similar AI orchestration and assistant platforms is preferred
- Experience with Data Dog or a comparable monitoring and observability platform is preferred
- Exposure to Model Context Protocol (MCP) or similar agent-to-system integration frameworks is preferred
- Understanding of cloud or SaaS FinOps principles for managing AI usage costs is preferred
- Experience working in a regulated or compliance-focused environment is preferred
- Relevant certifications are helpful but not required
Артықшылықтар
- 401(k) plan
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Paid holidays
- Vacation
- Employee negotiated discounts
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