<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>
<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>
We are looking for an experienced AI/Data Governance Analyst to support enterprise data strategy efforts in New York, New York. This Long-term Contract position will partner closely with leadership and cross-functional teams to strengthen data governance practices, improve data quality, and promote consistent standards across the organization. The ideal candidate brings a hands-on approach, strong communication skills, and a solid background working across multiple data domains in complex business environments.<br><br>Responsibilities:<br>• Partner with data strategy leadership to translate governance priorities into practical actions across business and technical teams.<br>• Work directly with stakeholders throughout the enterprise to reinforce adherence to established data policies, standards, and controls.<br>• Assess data quality issues, identify root causes, and help drive corrective actions that improve trust in key datasets.<br>• Support the development, maintenance, and adoption of governance frameworks, business rules, and data management practices.<br>• Collaborate with teams responsible for reporting, analytics, and operational systems to align data definitions and usage standards.<br>• Use tools such as SQL, BusinessObjects, and Erwin to analyze data structures, validate information, and document governance-related findings.<br>• Communicate recommendations, risks, and progress clearly through written materials and stakeholder discussions.<br>• Contribute as a senior hands-on analyst who can guide day-to-day governance execution and help coordinate efforts across multiple data domains.
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.
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.
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.
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities.<br><br>Responsibilities:<br>• Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm.<br>• Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality.<br>• Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products.<br>• Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development.<br>• Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality.<br>• Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools.<br>• Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.