As a Senior Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

As a Staff Software Engineer, you'll design scalable backend services, oversee architecture decisions, optimize performance, and enhance CI/CD processes while collaborating with teams.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As an Applied Scientist, you will develop and implement AI and machine learning solutions, design experiments, build models, and collaborate with product and engineering teams to address business problems.

The Senior Project Manager will oversee complex projects in sales technology and operations, managing scope, budget, and stakeholder communication to ensure project success and alignment with business objectives.

The role involves leading the design and delivery of a search platform's API and cloud infrastructure, focusing on providing self-service capabilities to internal clients. Responsibilities include API ownership, cloud infrastructure management, reliability engineering, and technical leadership.

The Staff Software Engineer will lead the design and implementation of the ingestion and indexing pipeline for a search platform, ensuring operational health and scalability while leveraging distributed systems and AI technology.

The CPQ Lead Solution Engineer will drive engineering strategy and implementation of CPQ solutions, provide technical leadership, collaborate with teams, and ensure system stability.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

As Lead Applied Scientist, you will innovate and deliver AI solutions for document understanding, ensuring accountability for research deliverables and optimizing capabilities while guiding technical direction and mentoring team members.

Design, develop, and implement Salesforce solutions (Sales Cloud, CPQ, Apex, Visualforce, LWC). Integrate systems via REST/SOAP, manage enviroments and change control, use Git and data/integration tools, and deliver technical documentation while collaborating with cross-functional teams.

The role involves guiding Sales and Business Segment teams in complex deal structures, managing contract requests, and ensuring compliance with company policies while collaborating with various departments.

The role involves designing, developing, and maintaining software systems for a search platform, utilizing AI and cloud technologies. Responsibilities include managing production systems, mentoring junior engineers, and participating in operational tasks with a focus on reliability and security.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

Lead the development of AI-powered solutions, drive technical strategy and innovation, mentor engineers, and ensure quality and operational excellence.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Develop and implement AI-driven software solutions, mentor junior engineers, and evaluate new AI techniques in a collaborative environment.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

As Principal Engineer, AI, you will lead the design and development of AI systems, mentor a distributed team, and ensure alignment with business objectives, focusing on content and editorial workflows.

Design and build full‑stack, agent‑first web applications and scalable cloud-native APIs; partner with AI Engineers to integrate models and data flows; lead architecture, mentor engineers, rapidly prototype AI interaction models, and drive cross-functional delivery.