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7 results for Rpa Engineer in Brooklyn, NY

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
DevOps Engineer
  • Princeton, NJ
  • onsite
  • Permanent / Full Time
  • 180000 - 200000 USD / Yearly
  • We are looking for a DevOps Engineer to support the delivery, reliability, and security of mission-critical platforms in Princeton, New Jersey. This role focuses on building and sustaining containerized environments, improving deployment processes, and strengthening operational visibility across distributed systems. The ideal candidate brings strong infrastructure automation experience and can work effectively with engineering and support teams to maintain stable, scalable services.<br><br>Responsibilities:<br>• Design, implement, and maintain resilient container-based platforms using Kubernetes and OpenShift across cloud, data center, and edge environments.<br>• Manage application deployment, configuration, patching, and ongoing lifecycle support for distributed systems operating in both connected and restricted networks.<br>• Develop and optimize monitoring solutions with Prometheus and Grafana, including dashboards, alerts, and service health indicators that improve incident response.<br>• Install and validate software releases in development and test environments, support regression testing, and coordinate production rollouts with minimal service disruption.<br>• Build and scale containerized services with Docker and Kubernetes to support enterprise and edge-ready architectures.<br>• Configure and support identity and access integrations with enterprise authentication platforms such as Microsoft Entra ID and related infrastructure services.<br>• Investigate user-reported issues through ticketing workflows, document resolutions, and maintain operational runbooks and knowledge resources.<br>• Partner with analysts, engineers, and technical stakeholders to convert operational needs into deployable solutions and feed production issues back into product improvements.<br>• Apply DevSecOps practices including vulnerability remediation, image hardening, secrets handling, and support for secure compliance-oriented environments.<br>• Participate in after-hours support and on-call rotations to address outages, performance issues, and other high-priority production events.
  • 2026-06-25T00:00:00Z
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>
  • 2026-06-16T00:00:00Z
Platform Engineer
  • Princeton, NJ
  • remote
  • Permanent / Full Time
  • 140000 - 165000 USD / Yearly
  • <p>We are looking for a Platform Engineer to support the design, delivery, and ongoing improvement of secure, reliable cloud platforms. This role partners with application, infrastructure, business, and vendor teams to prepare solutions for deployment, strengthen operational readiness, and resolve technical issues across the delivery lifecycle. The ideal candidate brings strong DevOps experience, hands-on cloud engineering skills, and a practical approach to automation, observability, and compliance in a healthcare-focused environment.</p><p><br></p><p>Responsibilities:</p><p>• Partner with application teams early in the delivery process to review architecture, confirm deployment readiness, and clarify technical dependencies, assumptions, and release expectations.</p><p>• Create platform designs that prioritize resilience, maintainability, and operational support, including rollback planning, failure response, measurable outcomes, and defined ownership.</p><p>• Serve as a central technical liaison across development, infrastructure, security, and compliance stakeholders to keep communication aligned throughout implementation and release activities.</p><p>• Detect technical, operational, and security concerns before deployment and coordinate with teams to mitigate risks before they affect production environments.</p><p>• Investigate incidents, perform root cause analysis, and help restore services while driving improvements that reduce recurring issues.</p><p>• Build, enhance, and support CI/CD workflows for code integration, testing, and application deployment using repeatable automation practices.</p><p>• Automate deployment processes and manage cloud-based, containerized workloads, including services running on AWS and AWS Fargate.</p><p>• Provision and manage infrastructure with Terraform and contribute to standards, code review practices, and governance for Infrastructure as Code and delivery pipelines.</p><p>• Implement monitoring, logging, and alerting solutions using tools such as CloudWatch, Datadog, or comparable platforms, while maintaining clear technical documentation.</p><p>• Support the modernization of legacy on-premises applications and assist with compliance activities such as audit logging, vulnerability remediation, and patch management</p>
  • 2026-06-24T00:00:00Z
Cyber Security Engineer
  • Maryknoll, NY
  • onsite
  • Permanent / Full Time
  • 100000 - 108312 USD / Yearly
  • We are looking for a Cyber Security Engineer to strengthen and oversee the organization’s security posture in New York. This role is suited to an experienced, detail-oriented individual who can assess risk, guide security practices, and protect systems across a mixed technology environment. The ideal candidate brings strong judgment, technical depth, and the ability to communicate clearly with stakeholders while handling sensitive matters with discretion.<br><br>Responsibilities:<br>• Lead day-to-day security efforts by identifying vulnerabilities, analyzing threats, and coordinating timely remediation activities across systems and networks.<br>• Evaluate the security of Windows and macOS environments, including patch management practices, endpoint protections, and configuration standards.<br>• Monitor network activity and security controls such as firewalls and related tools to help prevent unauthorized access and reduce operational risk.<br>• Investigate potential incidents, determine the scope of exposure, and drive response actions to contain and resolve security issues effectively.<br>• Review third-party security documentation, including SOC 2 reports, to support vendor risk assessments during contracting and procurement processes.<br>• Help develop, maintain, and reinforce information security policies, standards, and procedures in alignment with regulatory and organizational requirements.<br>• Partner with IT teams, leadership, and internal users to communicate security recommendations, report findings, and support informed decision-making.<br>• Contribute technical and analytical expertise to strengthen monitoring capabilities, improve risk visibility, and support ongoing security program maturity.
  • 2026-06-03T00:00:00Z
Software Engineer
  • New York, NY
  • onsite
  • Temporary / Contract
  • 79.1635 - 91.663 USD / Hourly
  • We are looking for a Software Engineer to join a team building and enhancing modern web applications in New York City, New York. This Long-term Contract opportunity is ideal for someone who enjoys developing reliable, scalable solutions across both front-end and back-end environments. The role focuses on creating high-quality software, collaborating with cross-functional partners, and contributing to continuous improvements throughout the development lifecycle.<br><br>Responsibilities:<br>• Design, build, and maintain software applications using C#, .NET, and ASP.NET technologies.<br>• Develop responsive user-facing features with JavaScript and React.js to deliver an intuitive application experience.<br>• Collaborate with product, engineering, and business stakeholders to translate requirements into effective technical solutions.<br>• Write clean, testable, and maintainable code while following established development standards and best practices.<br>• Troubleshoot application issues, identify root causes, and implement timely fixes to support stable system performance.<br>• Participate in code reviews and contribute ideas that improve application quality, usability, and long-term maintainability.<br>• Support enhancements, updates, and technical changes as part of ongoing application development efforts.<br>• Document technical designs, implementation details, and development updates to support team knowledge sharing.
  • 2026-06-08T00:00:00Z
Software Engineer
  • Hauppauge, NY
  • onsite
  • Permanent / Full Time
  • 100000 - 125000 USD / Yearly
  • We are looking for a Software Engineer to build modern web applications that combine reliable backend services with intuitive user interfaces. This position partners closely with product, design, and quality teams to turn business needs into well-crafted technical solutions. Based in New York, the role is ideal for someone who values maintainable code, strong engineering practices, and delivering high-quality digital experiences.<br><br>Responsibilities:<br>• Create and enhance full-stack web solutions using C#, .NET, ASP.NET Core, Razor, Blazor, JavaScript, and React.js.<br>• Develop backend services, front-end components, and interactive application features that support a smooth and responsive user experience.<br>• Work alongside stakeholders across product, design, and testing to shape requirements, build functionality, and release updates effectively.<br>• Improve application reliability by addressing performance, security, accessibility, and overall code quality throughout the development lifecycle.<br>• Connect applications with relational databases and external service integrations while ensuring data accuracy and system stability.<br>• Review code, share technical guidance, and encourage sound development standards across the engineering team.<br>• Participate in architecture and implementation decisions that support scalable, maintainable, and efficient software delivery.
  • 2026-06-10T00:00:00Z