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The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Evaluate and label model-generated and human-written code outputs, debug and assess code/agent trajectories, prompt models for complex data science tasks, review visualizations, and report quality trends to improve model behavior.

Evaluate and label model-generated and human-written software engineering outputs for coding, debugging, and codebase-related tasks. Assess agent trajectories, prompt models for complex coding tasks, proofread and improve responses, and report quality and performance trends. Part-time contractor role contributing to model development.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

Evaluate and rank multimodal model outputs, stress-test and document failures, author and edit dataset prompts/responses, build and apply rubrics, perform high-quality annotations across text, image, and structured formats, participate in calibration checks, adapt to evolving tasks, and report model performance trends to cross-functional teams.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

Lead month-end close, manage general ledger, reconciliations, and financial statement preparation. Oversee audits and internal controls, drive system implementations, process improvements, and acquisition integrations. Partner cross-functionally, leverage technology to improve accounting efficiency, and provide financial analysis and recommendations to support strategic decisions.

Lead NetSuite ERP architecture, configuration, integrations, and roadmap. Improve Order-to-Cash and Procure-to-Pay processes, implement automation (including AI/LLM agents), enforce data governance and SOX-ready controls, partner with cross-functional teams, manage upgrades and third-party integrations, and provide documentation, training, and user support to ensure financial system stability and accuracy.

Lead and manage the enterprise SOX control framework: scope, risk assessment, control design, documentation, testing, deficiency remediation, and auditor liaison. Partner cross-functionally to embed controls in transformations and drive automation and efficiency across the program.