Top Artificial Intelligence Jobs

Design and implement compilers for proprietary hardware architecture, focusing on midend and backend development, while providing hardware insights.

The Engineering Manager will lead the cloud platform team to enhance reliability and scalability, oversee a team of engineers, and improve the platform's operational performance, focusing on observability, intelligence, and orchestration capabilities.

Develop growth, business development, go-to-market, and customer acquisition strategies for an AI healthcare product. Identify market opportunities, partnerships, and clinic segments; qualify leads; manage sales pipelines; conduct demos; support onboarding; gather customer feedback; prioritize product improvements; and create outreach campaigns, customer stories, and growth experiments. Work closely with founders and engineers to connect customer needs with product development.

Design, develop, and deploy web and cloud applications using .NET, C#, Azure, Angular, React, and related technologies. Collaborate with clients to gather requirements, define goals, and recommend solutions. Participate in Agile/Scrum planning, code reviews, mentoring, testing, and DevOps practices. Explore AI-assisted development tools and help establish effective AI workflows. The role involves continuous learning, client engagement, and delivery of enterprise software and AI automation solutions.

Unpaid, part-time internship creating and curating engaging comic and superhero content for a social news platform. Responsibilities include sourcing trending stories, writing and editing content, maximizing user engagement, and interacting with community members. Candidates should be college students or recent graduates with strong writing, communication, editing, collaboration, and independent work skills. Weekend availability is a plus, and college credit may be available.

Manage and grow existing client accounts by maintaining relationships, delivering personalized service, developing revenue growth plans, preparing proposals, and identifying new sales opportunities. The role requires B2B sales expertise, CRM proficiency, pipeline management, contract administration, account analysis, strategic planning, and a demonstrated history of meeting or exceeding quotas.

Design and build AI-enabled applications centered on knowledge graphs, ontologies, graph and vector databases, RAG, and agentic pipelines. Develop scalable backend systems, APIs, data pipelines, integrations, and interactive full-stack web applications. Make architectural decisions, integrate intelligent search and retrieval features, evaluate emerging technologies, and ship production code. Collaborate with product, design, domain experts, and leadership while contributing to engineering standards, quality, security, testing, and maintainability.

Lead the company’s growth organization across all markets and channels. Partner with the founder to scale product-market fit, manage growth team leads, establish objectives and reporting, build operational systems, prioritize initiatives, and create an AI-native, high-performing growth machine. The role requires strong commercial judgment, systems thinking, leadership, communication, and experience scaling fast-moving startups.

The Forward Deployed Engineer designs, builds, and deploys workflows or applications while serving as a trusted technical advisor to clients, ensuring AI performance and safety.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.