Top Artificial Intelligence Jobs

Support go-to-market strategy and execution across inbound and outbound channels: define ICPs, join user calls, create Excel demo videos, run outreach using Clay/HeyReach/Instantly, post and measure performance on social platforms, and optimize funnel metrics (visits, conversion, retention, referral).

Develop and integrate board support packages, bootloaders, device trees, hardware abstraction layers, firmware, and low-level drivers for carrier-grade networking platforms. Support hardware bring-up, board validation, debugging, performance optimization, and embedded Linux stability improvements. Collaborate with hardware and systems teams, integrate third-party SDKs, and contribute to high-performance routers and switches using ASICs, SoCs, NICs, CPLDs, and FPGAs.

Lead enterprise sales to acquire and expand restaurant customers for Loop AI. Develop and execute sales strategies, prospect and qualify opportunities, deliver demos, negotiate contracts, manage pipeline and forecasts, and maintain relationships with key decision-makers to drive revenue growth.

Develop and optimize high-fidelity Roblox experiences using Luau, Roblox Studio, and advanced platform services. Build gameplay systems, character controllers, AI behavior, UI/UX features, and interactive mechanics while optimizing performance across PC, mobile, and console. Collaborate with creative, product, engineering, QA, clients, and stakeholders from concept through delivery. Use GitHub and Rojo in team workflows, troubleshoot technical issues, and apply scalable data-handling and platform-innovation techniques.

Three-month System Software Internship focused on developing and optimizing Jenkins and GitLab CI/CD pipelines, Groovy shared libraries, build automation, regression testing, and hardware-in-the-loop infrastructure. Responsibilities include managing Jenkins agents and Docker environments, improving pipeline reliability, migrating pipelines, building monitoring dashboards, troubleshooting embedded and application software builds, and documenting operational practices while collaborating with hardware, firmware, and software teams.

Full Stack Engineer responsible for building responsive frontends (JS/TS, React preferred) and backend services (Python, Go, or Node.js/TypeScript), designing RESTful APIs, managing databases (Postgres/MongoDB), and deploying on cloud (AWS). Collaborate with teams, optimize performance, and apply DevOps practices (Docker, Kubernetes, CI/CD). Requires strong problem-solving, communication, and 3+ years of experience.

Create graphics, videos, data visualizations, social content, email assets, merchandise, and event branding. Translate complex data and long-form content into accessible visual stories, develop brand identity, maintain a marketing asset library, and rapidly test and refine creative variants based on engagement and conversion results. Collaborate closely with marketing and engineering while managing a fast-paced, campaign-driven workflow.

Own the full sales cycle across agency accounts, from prospecting through close. Build executive relationships within creative, advertising, media, production, and technology organizations; develop account strategies; expand adoption; manage pipeline and forecasting; and help shape the agency sales strategy. Partner with Product and Marketing to translate customer feedback into product and go-to-market opportunities. The role requires strong agency ecosystem knowledge, complex B2B sales experience, commercial judgment, and enthusiasm for generative AI.

Develop, train, evaluate, and deploy machine learning models and AI-powered applications. Responsibilities include data preprocessing, feature engineering, deep learning development, cloud-based model deployment, and collaboration with data engineers, MLOps teams, and business stakeholders. The role also requires applying strong analytical and research skills while staying current with advances in artificial intelligence.

Design, evaluate, and deploy LLM-powered features end-to-end: prompt engineering, semantic retrieval, embeddings, vector stores, evaluation frameworks, and production integration while collaborating with product and engineering and working directly with users.