Top Artificial Intelligence Jobs

Build and own backend services, APIs, and data pipelines powering an AI automation engine for enterprise hardware engineering. Implement scalable, secure infrastructure for high-volume LLM calls, design-tool integrations (PLM, CAD, CAE), document and design data ingestion, and work directly with founders and customers to rapidly prototype and ship production features.

Own full-cycle enterprise B2B SaaS deals from first conversation to signed contract. Land and expand within accounts, navigate enterprise security/procurement/legal processes, engage technical buyers, shape enterprise sales motion, and feed customer requirements into product roadmap.

No responsibilities or details are provided. Title indicates an engineering role intended to be forward-deployed to customer sites or field locations, likely involving hands-on technical work and on-site support.

Build core infrastructure and ML models for a cloud-native IDE: architect the development environment, integrate with GitHub and Linear, fine-tune models, develop always-on AI agents, and design systems that continuously learn from user behavior.

Design and build core product features and infrastructure; develop and operate distributed microservice systems and data pipelines; optimize for performance, reliability, and scalability; integrate LLMs/agent-based workflows; collaborate closely with founders and shape engineering culture at an early-stage company.

No job description provided. Responsibilities for this Enterprise Account Executive role are not specified in the posting.

Work with senior engineers to design, build, and ship full-stack features for a production Policy Engine. Write reliable, maintainable code; own a project end-to-end; solve ambiguous problems; and collaborate across the team to deliver scalable systems.

Owner-operator role handling day-to-day company operations: facilities, IT, vendors, travel, finance, payroll, equity administration, recruiting, and special projects. Partner with founders and head of operations to build infrastructure, run sensitive commercial and government engagements, and seed future operational functions.

The Forward Deployed Data Analyst will optimize SQL queries, troubleshoot analytics pipelines, and collaborate with customers to enhance their data systems. Responsibilities include diagnosing issues, proposing structural improvements, and coordinating with engineering teams.

Serve and grow Fingermark's North America accounts through hands-on, customer-facing relationship management. Advocate for clients internally, identify expansion opportunities, drive revenue and renewals, manage multiple accounts, use ERP/CRM tools, and travel ~20% for onsite meetings.