Top Artificial Intelligence Jobs

We are seeking an AI Data Engineer to own the full data lifecycle, building systems for unstructured data and enabling autonomous AI actions.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

The Full Stack AI Engineer will integrate AI capabilities into PerfectServe's platform, design AI architecture, build production features, and advise on AI solutions, with a focus on improving healthcare communications and outcomes.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

Design, prototype, and ship AI-powered features (copilots, agents, RAG, extraction, routing) end-to-end. Collaborate with Product, Design, Data, and customers; produce production-grade code, tests, and documentation; iterate quickly using modern AI tooling and observability.

The AI Creator will produce multimedia content, applying technical workflows and AI tools to enhance creative production processes.

The Director of Product Engineering leads AI product strategy and development, overseeing technical execution and collaboration to drive innovation and impact in AI solutions.

Lead end-to-end client engagements to design, build, and ship AI agent workflows and automations. Convert ambiguous AI mandates into sequenced initiatives, prototype and deploy solutions, manage stakeholder change, document learnings to inform product strategy, and help build the operating model for this new function.

The Staff AI Embedded Software Engineer will lead initiatives in embedded software development for connected devices, focusing on AI integration, architecture, and mentoring teams.

The Senior AI/ML Engineer will design, build, and deploy Generative AI and ML platforms, ensuring compliance and high performance. Responsibilities include developing foundational services, overseeing model training infrastructure, and mentoring junior engineers.

The role involves designing AI systems for IC calibration and optimization, collaborating with design teams, and applying ML techniques to analog/mixed-signal circuits.

The AI Video Content Creator intern will record scripted instructional videos on AI topics, requiring strong communication skills, creativity, and the ability to work independently.

The AI Engineer will design and build AI Assistants integrated with enterprise tools, focusing on automation, API development, and prompt engineering.

Lead engineering-embedded delivery across global teams by translating product intent into testable work, building automated validation, CI/CD and flow-metrics infrastructure, deploying forecasting/risk models, automating coordination, writing production code to solve delivery problems, designing multi-agent AI workflows, and driving adoption of DevOps/MLOps governance.

The AI Engineer will design and build AI Assistants integrated with enterprise tools, develop prompt engineering frameworks, and collaborate with teams to ensure production-grade systems.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

The AI Engineer will design and build AI Assistants for workflow automation, integrating with enterprise tools while ensuring production-grade systems. The role involves maintaining APIs and collaborating with various teams on AI solutions.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

Lead enterprise AI initiatives from problem definition through production deployment and monitoring. Evaluate buy vs. build, design ML/LLM solutions, partner with business and engineering, enforce MLOps and governance, and communicate results to leadership.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

The AI Solutions Engineer will design and implement AI tools, automate workflows, and enhance customer interactions while collaborating across teams to improve internal processes.

Deliver live AI learning sessions for business audiences, teach AI fundamentals and practical use cases, train role-based and leader-focused AI adoption, facilitate discussions/Q&A, and partner with stakeholders to tailor content and maintain high delivery quality.

Lead integrated marketing strategies for startups and AI companies, managing cross-functional teams to achieve campaign targets and drive innovation while mentoring and developing team talent.