Top Artificial Intelligence Jobs

The Account Executive will develop new business opportunities in the legal sector, conduct sales calls and demos, maintain client relationships, and report to the CEO.

Design, build, and maintain scalable, high-performance backend systems for a real-time automated order-taking platform. Integrate backends with ML models, client devices, and third-party restaurant systems (POS, payments, loyalty). Monitor and optimize production performance, implement best practices for design, testing, security, and reliability, and collaborate across the team to solve product-wide problems.

The Director of Information Security will lead the development of security architecture, manage compliance programs, oversee security operations, and handle IT operations for a small team while enhancing privacy and security practices.

Lead backend engineering to ingest and structure regulatory and geospatial documents, build AI/LLM-driven extraction and agentic workflows, create APIs and scalable pipelines, and make architecture decisions for production systems that power mapping and permitting workflows.

Develop and maintain high-performance Java applications, work on web and mobile applications, and collaborate in Agile/Scrum teams.

The Senior .NET Developer will work on developing and maintaining applications, mentor junior developers, and ensure compliance with regulations. The role requires expertise in full-stack development, particularly with SQL Server databases and Azure.

As a Sales Development Representative, you will focus on outbound prospecting to engage potential clients at large banks and credit unions, book meetings for senior sellers, and maintain CRM data while navigating complex organizational structures.

The Founding Engineer will manage end-to-end projects, blending product engineering and AI, focusing on impactful solutions using various technologies.

Lead the transition from teleoperation to autonomy in robots by developing Vision-Language-Action models and deploying ML systems. Collaborate on data processing and model integration for robotics applications.

Lead development of a core platform area: collect stakeholder requirements, design architecture and APIs, implement features, ensure quality (tests, docs), and coordinate cross-team work.