Top Artificial Intelligence Jobs

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.

Develop and test signal-processing and perception algorithms for sensing systems, prototyping on FPGA and GPU platforms and transitioning solutions to silicon-optimized production implementations. Build digital twins, define algorithm specifications, evaluate system performance, bring up revised chipsets, and automate testing and engineering workflows. Collaborate with hardware, software, and systems teams across robotics and autonomous-systems development.

Build and run the talent engine: design sourcing and talent-marketing experiments, build scrapers, pipelines, monitoring and outreach systems, create dashboards treating talent as a funnel, persuade top candidates, and iterate a repeatable recruiting playbook while working closely with founders and investor networks.

Early-career engineer building production AI systems: AI agents and voice AI to resolve care incidents, deep EMR integrations (WellSky, AxisCare, AlayaCare), real-time search/indexing, and human+AI closed-loop systems to keep home care running.

Own and implement the backend runtime for real-time care coordination: encode executable SOPs, route issues to agents or humans, implement retries/fallbacks/timers, track session state, and integrate observability while collaborating with product and principal engineering to drive sessions to closure.

Support design of user-centered interfaces across e-commerce, internal SaaS (WMS/OMS), and AI agent interactions. Create wireframes, prototypes, and high-fidelity mockups; conduct usability research; maintain a design system; apply WCAG accessibility practices; collaborate with product managers and frontend engineers for feasible, consistent designs.

Design end-to-end technical architecture for an integrated supply-chain e-commerce platform (MES→WMS→OMS→Payments→Invoices). Define modular service architecture, API contracts, tenant isolation (Postgres RLS), deployment IaC (Terraform, Docker, Traefik), observability (Prometheus/Grafana/OpenTelemetry), security (JWT, Vault), and integration of production AI agent frameworks (LangChain/LlamaIndex/AutoGen). Mentor teams and deliver compliant, scalable technical blueprints with target SLOs.

Provide Tier 1/2 technical support for e-commerce and internal users of WMS/OMS, manage tickets and SLAs, run client onboarding and training, diagnose web/API issues using observability logs, escalate and document bugs, and support AI agent QA and knowledge base curation.