Top Artificial Intelligence Jobs

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.

Build AI agent sample apps, demos, SDKs, and tutorials using Kernel’s browser infrastructure. Own technical content from concept through code, writing, video production, and documentation. Engage developer communities across GitHub, Slack, Discord, and X, while partnering with Engineering, Product, and Marketing on content strategy and launches.

Design, prototype, test, and integrate robotic arm and mobile platform subsystems spanning mechanical, electrical, embedded, and software disciplines. Responsibilities include hardware bring-up, assembly, calibration, reliability testing, data-driven debugging, and root-cause analysis. The intern will own subsystem development from CAD and PCB work through bench testing while supporting robotics data collection and model training operations.

Build and iterate full-stack systems powering AI voice agents from concept through deployment. Research agent orchestration, prompting, and model-alignment approaches; collaborate with product, design, and go-to-market teams to improve usability; document findings and participate in technical reviews. The role also involves debugging live systems, responding to customer needs, and shipping continuous improvements.

Senior compensation practitioner responsible for advising customers on total rewards, pay equity, job architecture, market data, pay ranges, offer construction, and geographic differentials. Owns compensation content and product areas, leads roadmap priorities, creates scalable enablement resources, partners with Product, AI, data science, and development teams, and supports complex customer discussions involving executive and board-level stakeholders.

Leads high-volume telecom billing operations, including invoice generation, validation, reconciliation, distribution, system configuration, and dispute resolution. Partners with Accounting, Sales, Customer Success, and Product to ensure accurate pricing, usage, revenue recognition, and compliance. Monitors billing metrics, improves processes, supports system upgrades and UAT, and mentors team members. Requires deep telecom or TEM billing expertise, advanced Excel skills, ERP or billing-system proficiency, and strong data analysis capabilities.