Top Artificial Intelligence Jobs

Support employee experience, engagement, recruitment coordination, onboarding, offboarding, HR operations, employee lifecycle activities, reporting, and HR projects. Serve as a day-to-day employee contact, partner with hiring managers, manage documentation and communications, identify process gaps, and contribute to culture-building for a remote-first organization.

Build and own production AI-powered products across the frontend, backend, data, and cloud stack. Design multi-agent systems and RAG pipelines, orchestrate AI workflows, and deploy reliable, scalable features. Responsibilities include model serving, latency and cost optimization, prompt engineering, model evaluation, cloud infrastructure, and end-to-end product development using React, Node.js, PostgreSQL, and major cloud platforms.

Drive new business by prospecting, owning the strategic pipeline, conducting discovery, translating customer pain points into business value, managing software trials, delivering demos, and closing deals. The Account Executive will collaborate with SDR and Marketing teams, manage complex sales cycles, represent the company at industry events, track forecasting in CRM and sales enablement platforms, and develop strategies to improve win rates and shorten sales cycles.

Own a portfolio of 15–25 strategic enterprise accounts, driving adoption, retention, renewals, and expansion. Lead onboarding, implementation, QBRs, executive relationships, ROI reporting, and strategic account planning. Partner with Sales and Product to identify growth opportunities, negotiate renewals, and communicate customer feedback. The role manages construction-industry customers and requires 40–50% travel for customer visits, QBRs, and trade shows.

Conduct applied computer vision and deep learning research for automated construction drawing takeoff and estimation. Own a scoped research problem, train and evaluate models for detection, segmentation, or structured extraction, explore self-supervised learning and multimodal signals, develop prototypes using real data, design evaluations, and present findings to the research team.

Own end-to-end computer vision and AI research for automated construction takeoff and estimation. Develop deep learning models for object detection, segmentation, structured extraction, and multimodal understanding of vector and raster drawings. Build evaluation frameworks, train models at scale, make data-labeling decisions, assess current research, and productionize successful models. The role requires strong Python and PyTorch skills, GPU and distributed training experience, and practical computer vision expertise.

Early-employee, open-call role for candidates passionate about accelerating UAV swarm and spatial AI capabilities for national security. Help shape company direction, propose a role, and describe relevant past projects. Requires optimistic, tenacious, self-determined, and highly motivated individuals. Must meet ITAR eligibility (US Citizen, Green Card holder, or asylee/refugee).

Build and own core backend and voice-infrastructure features for a high-growth voice AI platform serving Fortune 500 financial clients. Work on telephony integrations, real-time processing, scaling, security, and end-to-end production deployments. Mostly hands-on coding with ownership of design, implementation, and reliability.

Deploy and integrate a real-time voice AI platform into complex enterprise banking environments. Build integrations with legacy APIs, telephony stacks, and financial systems; debug production incidents; create tooling, data pipelines, and deployment automation. Travel 10-25%.

Lead large-scale DGX Cloud infrastructure programs, coordinating NVIDIA engineering teams with cloud service and provider partners. Define technical requirements, capacity roadmaps, milestones, KPIs, and lifecycle processes for compute, storage, networking, and GPU infrastructure. Manage partner operations, availability, maintenance, risks, compliance, security, observability, and infrastructure adoption. Drive consensus, executive communication, process improvement, and delivery rigor using program management tools.

Lead NVIDIA Jetson embedded imaging software teams and roadmap development, covering camera drivers, image-processing algorithms, streaming frameworks, developer tools, and platform integration. Translate customer needs into prioritized capabilities, coordinate cross-functional engineering and partner teams, deliver predictable releases, and mentor engineering managers and technical leaders. The role also guides embedded Linux, systems software, agentic development workflows, edge AI, camera technologies, and performance optimization.

Support and grow the RAPIDS DevOps infrastructure: manage hardware, design and maintain container/build processes, develop and publish Python packages, operate CI/CD, observability, security compliance, Linux systems, and collaborate with engineers to implement DevOps best practices.

Develop and maintain simulation, performance modeling, and optimization tools for an AI-powered automated design engine. Model complex engineering systems, analyze design spaces, perform trade studies, and expand capabilities supporting large-scale infrastructure projects such as utility-scale power and data centers. The role requires systems thinking, strong first-principles reasoning, cross-disciplinary technical breadth, deep expertise in one or two areas, hands-on execution, and prioritization of high-impact problems.

Build full-stack software for AI-powered engineering and construction automation. Partner with hardware and analysis engineers to develop product architecture, performance, implementation, and customer-facing capabilities. The role requires end-to-end ownership across applications, databases, and cloud infrastructure, with an emphasis on AI coding agents, physical-world engineering or manufacturing software, rapid execution, and high autonomy. This is an in-person position in San Francisco, five days per week.

Own the end-to-end product management cycle, including customer discovery, user interviews, solution definition, product requirements, AI prototyping, engineering collaboration, feature launches, and communicating product value. The role focuses on rapidly delivering mobile and web products that improve construction workflows, using data and decisive ownership to address complex customer and operational needs.

Provide end-to-end technical support for enterprise and B2B customers using ElevenLabs API and ElevenAgents. Diagnose complex issues, troubleshoot integrations involving LLMs, telephony, and AI systems, communicate solutions in English, identify recurring product gaps, collaborate with engineering and product teams, and maintain clear technical documentation. The role also requires acting as a trusted technical partner while working autonomously in a fast-moving remote environment.

Partner with enterprise customers to deploy conversational agents, optimize their performance, and drive revenue growth through cross-sell opportunities. Focus on integration and user experience.

Coordinate complex interview schedules, candidate communications, onsite logistics, recruiting systems, feedback, and offer processes. Partner with recruiters, hiring managers, and interviewers to maintain efficient hiring workflows and an exceptional candidate experience. Identify scheduling and process issues, improve recruiting operations, and support referrals, sourcing, events, and other initiatives while growing into broader recruiting responsibilities.