Top Artificial Intelligence Jobs

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.

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.

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.

Test new web and mobile features, report bugs and usability issues, run manual and automated tests, review requirements and designs, improve QA processes and documentation, and provide UI/UX feedback while collaborating with product, design, and engineering teams.

Design and develop mechanical components and assemblies for autonomous production robots, including grippers, manipulators, end-effectors, and mounts. Lead designs from concept through production, develop rapid prototypes, integrate components into larger hardware systems, and ensure performance, reliability, and manufacturability. Provide technical leadership and collaborate with hardware engineering and operations teams in an onsite, fast-paced environment.

Lead and grow Omni’s North American Solutions Engineering team. Responsibilities include hiring, coaching, resource planning, technical discovery, demos, proofs of concept, playbook development, performance tracking, and executive customer engagement. The manager will partner with Sales, Product, and Engineering while remaining hands-on in strategic technical evaluations. Candidates need business intelligence or analytics presales experience, people-management experience, strong SQL and modern data stack familiarity, and excellent communication skills.