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4 results for Dental Imaging Equipment Engineer in Fort Lee, NJ

Information Systems Engineer
  • Jamesburg, NJ
  • remote
  • Temporary to Hire
  • 41.1635 - 47.663 USD / Hourly
  • Key Responsibilities<br>• Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems<br>• Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite<br>• Support and administer Windows Server environments and Active Directory<br>• Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA<br>• Configure, deploy, and support Windows 10/11 workstations and peripherals<br>• Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices<br>• Monitor and manage system backups, disaster recovery processes, and infrastructure performance<br>• Lead and participate in IT projects, including site setups, upgrades, and deployments<br>• Evaluate hardware/software needs and recommend solutions aligned with business requirements<br>• Collaborate with vendors, procurement, and internal teams on technology solutions and services<br>• Maintain accurate documentation of systems, processes, and infrastructure<br>• Manage hardware/software inventory and ensure proper asset tracking<br>• Provide technical guidance to team members and act as an escalation point when needed<br>• Deliver regular updates on project status and system performance to leadership
  • 2026-05-18T00:00:00Z
AI Engineer
  • New York, NY
  • onsite
  • Temporary to Hire
  • 71 - 80 USD / Hourly
  • <p>This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices.</p><p>This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments.</p><p><br></p><p><strong>What you’ll do</strong></p><p><strong>Start with customers</strong></p><p>•     Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement.</p><p>•     Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against.</p><p>•     Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs.</p><p>•     Bring the customer voice back into our roadmaps, our model choices, and our trade-offs.</p><p>•     Occasional travel to customer sites may be required to better understand workflows and gather product feedback.</p><p><br></p><p><strong>Build AI-powered applications and workflows</strong></p><ul><li>Contribute to AI-powered applications and workflows for legal and business use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams.</li><li>Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams.</li><li>Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services.</li><li>Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities.</li><li>Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments.</li></ul><p><strong>Contribute to AI Engineering Enablement</strong></p><ul><li>Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams.</li><li>Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams.</li><li>Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization.</li><li><br></li></ul>
  • 2026-06-10T00:00:00Z
Artificial Intelligence (AI) Engineer
  • Monroe, NY
  • onsite
  • Permanent / Full Time
  • 150000 - 225000 USD / Yearly
  • <p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
  • 2026-06-15T00:00:00Z
Jr. Operations Engineer
  • New York, NY
  • onsite
  • Permanent / Full Time
  • 90000 - 100000 USD / Yearly
  • <p>We are looking for a motivated entry-level Operations Engineer to join our team in Secaucus, NJ . In this role, you will collaborate with experienced engineers to maintain and enhance mission-critical, low-latency trading systems. This position offers an excellent opportunity to develop technical skills in system administration, networking, and automation while contributing to the operational success of our platform.</p><p><br></p><p>Responsibilities:</p><p>• Monitor and maintain the performance of low-latency trading systems to ensure seamless operation.</p><p>• Assist in resolving incidents by troubleshooting issues and minimizing system downtime in collaboration with senior team members.</p><p>• Perform essential operational tasks such as system monitoring, log analysis, and routine maintenance.</p><p>• Develop and implement automation scripts and tools to enhance operational efficiency.</p><p>• Gain hands-on experience with Linux/Unix system administration and networking technologies.</p><p>• Contribute to the creation and upkeep of detailed documentation for systems and processes.</p><p>• Participate in rotational weekend work to ensure system reliability and availability.</p><p>• Travel occasionally to the data center as required for hardware or system maintenance tasks.</p>
  • 2026-05-27T00:00:00Z