<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>
We are looking for a Portal Engineering Lead to guide the architecture, development, and delivery of enterprise portal solutions in Jenkintown, Pennsylvania. This position combines hands-on engineering with technical leadership, partnering closely with product, architecture, quality, security, and operations teams to build reliable, secure, and accessible digital experiences. The ideal candidate brings deep expertise across modern backend and frontend technologies, champions engineering best practices, and drives continuous improvement from planning through production support.<br><br>Responsibilities:<br>• Guide the technical design and hands-on development of portal applications using C#, modern .NET platforms, APIs, integrations, and contemporary Angular or React user interfaces.<br>• Convert business and product goals into clear technical plans, actionable work items, delivery estimates, and risk mitigation strategies for the engineering team.<br>• Apply AI-enabled development tools to accelerate prototyping, coding, refactoring, and test creation while ensuring solutions remain secure, accurate, and maintainable.<br>• Establish engineering standards for source control, peer review, documentation, and completion criteria to improve code quality and long-term supportability.<br>• Work closely with quality engineering partners to define test coverage, expand automated unit, integration, and end-to-end testing, and confirm accessibility expectations are met.<br>• Oversee deployment of portal enhancements in Azure through GitHub-based workflows and CI/CD pipelines, ensuring stable releases and strong delivery discipline.<br>• Partner with cloud and operations teams to strengthen monitoring, telemetry, alerting, and service objectives, and lead root-cause analysis and resolution for production incidents.<br>• Ensure authentication, authorization, and data protection practices align with security and compliance expectations, while maintaining operational runbooks and deployment documentation.<br>• Lead and mentor distributed developers, support agile planning activities, and collaborate with product, architecture, and external partners on solution direction and delivery quality.
<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>
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
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.
<p>We are looking for an experienced ADMS Technology Engineer to support the design, development, implementation, and ongoing maintenance of Advanced Distribution Management Systems (ADMS) and related utility technologies. This role is responsible for working across the full software engineering lifecycle, including requirements analysis, system design, development, testing, deployment, and operational support.</p><p>The engineer will collaborate with cross-functional teams including system operators, product managers, analysts, and technical teams to deliver reliable, scalable solutions that support grid operations and real-time utility environments. This role requires strong technical expertise, problem-solving ability, and experience working with complex system integrations.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Analyze business and operational requirements and translate them into technical solutions, system configurations, and implementation plans.</p><p>· Design, develop, test, and support software solutions, tools, and platforms across the full SDLC.</p><p>· Troubleshoot system issues, perform root cause analysis, and implement corrective solutions.</p><p>· Support deployments, upgrades, patches, and releases across development, test, and production environments.</p><p>· Monitor system performance and ensure solutions meet reliability, operational, and service level requirements.</p><p>· Work with system integrations including SCADA, GIS, OMS, DMS, ICCP, and enterprise data platforms.</p><p>· Perform system configuration, log analysis, and troubleshooting across software, hardware, and network environments.</p><p>· Maintain and patch Windows and Linux servers; support virtualized environments (VMware).</p><p>· Develop documentation including technical procedures, configurations, and troubleshooting guides.</p><p>· Create operational and analytical reports (e.g., Power BI dashboards) to support business decisions.</p>