Top Artificial Intelligence Jobs

Lead Legion's organic and AI-search growth across search engines and AI answer surfaces. Own technical SEO, content strategy, AI-assisted workflows, clinician-reviewed medical content, conversion optimization, measurement dashboards, and cross-functional operations to drive booked visits, retention, and revenue.

Lead end-to-end delivery of enterprise AI engagements: run discovery, size value, define features, coordinate cross-functional teams, drive adoption and change management, and own commercial expansion and program outcomes in regulated environments.

Design, build, and deploy ML and statistical models for threat and anomaly detection; engineer security data pipelines; partner with SOC and engineering to embed analytics into controls and incident response; monitor model performance, and communicate findings to technical and non-technical stakeholders.

Compose and edit original scores, themes, and songs for series and films; place and adapt music to picture; collaborate with showrunners, editors, and sound designers; deliver production-ready stems and mixes; iterate quickly using AI music-generation workflows.

Evaluate and optimize NVIDIA AI infrastructure by running multi-node training/inference on large GPU clusters, designing benchmarks, profiling deep-learning workloads, identifying bottlenecks, producing tutorials and whitepapers, analyzing competitors, and presenting demos at major conferences.

As an AI Research Engineer, you'll conduct research in AI and automated reasoning, creating innovative solutions, testing systems, and contributing to scientific publications while collaborating with engineering teams.

The AI Workflow Engineer will design and deliver training, facilitate workshops, redesign workflows, and develop use cases for enterprise clients using AI tools.

As a Senior AI Engineer at Blank Metal, you'll lead the architecture and strategy for AI projects, ensuring system reliability and scalability while mentoring other engineers and translating business needs into technical solutions.

Develop and implement AI features, integrate LLM APIs, collaborate on system design, and mentor junior engineers in a production environment.

The Data & AI Analyst will manage customer data migrations, enhance internal tools, build reporting solutions, and collaborate on data quality with engineering.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.

The Commission Sales Representative will close sales for Clovyr AI Cloud, generate leads, book demos, and engage with decision-makers in businesses.

The Founding Staff AI Engineer will design and implement production-grade AI systems focused on document intelligence in the insurance sector, collaborating with co-founders to shape the architecture and roadmap for AI solutions.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

AI Strategists at Tenex lead engagements to improve workflows with AI, collaborating with clients to increase adoption and optimize business processes.

As a Sr. AI Product Manager, you'll develop growth strategies, manage customer motions, collaborate with marketing, and influence product direction based on customer insights for AIStor.

Lead Software & AI Engineer responsible for designing, developing, and deploying software solutions integrating AI/ML. Requires extensive experience in cloud-native development and DevSecOps.

Design and implement backend services for a scalable agentic AI platform: agent identity and authentication, credential management, knowledge/memory layers, observability, governance and safety, orchestration for multi-step agent workflows, and cross-team integration with Product, SRE, Security, and Data Platform.

Lead design, development, and deployment of AI solutions (ML, DL, NLP, CV) for federal clients; mentor teams; define program AI strategy, evaluate R&D, and help craft AI policy and governance.

Lead technical sales and implementations for Nitra's AI platform: drive technical discovery, design, demos, POCs, integrations, and go-live. Ensure customer adoption, collect feedback to influence product roadmap, build scalable implementation playbooks, and troubleshoot complex issues alongside Engineering.

Lead technical discovery, solution design, demos, proofs-of-concept, and implementations for Nitra's AI platform. Partner with Sales and Customer Success to win deals and drive adoption, while feeding customer insights into Product and Engineering. Build scalable implementation processes, documentation, and resolve complex technical issues to ensure successful customer launches and expansion.