Top Entry Level Artificial Intelligence Jobs

Lead AI strategic advisory engagements, including transformation planning and diligence assessments. Support proposals, sales pursuits, executive relationship building, and client communication alongside Principals. Translate AI capabilities into business recommendations, identify value-creation opportunities and disruption risks, and contribute to internal partnerships, thought leadership, tooling, and process improvements.

Lead the strategy, development, delivery, and adoption of AI-powered marketing and sales products for enterprise clients. Translate business needs into product requirements, manage roadmaps, prioritize features, coordinate data science and engineering teams, oversee consulting engagements, and drive measurable business outcomes across revenue operations. The role also includes executive stakeholder management, client workshops, cross-functional delivery leadership, team mentoring, and change management.

Translate product concepts into engineering-ready specifications for AI-native pharmaceutical CMC software. Define feature stories, acceptance criteria, edge cases, data models, API contracts, and AI quality standards. Collaborate with product, engineering, design, and life sciences teams to resolve ambiguity, validate regulatory content, and own product quality through delivery.

Build and own Cogent’s IT function across endpoints, identity and access management, SaaS vendors, office infrastructure, and end-user support. The role includes device provisioning, MDM, SSO, MFA, automation using Python and workflow tools, AI tool governance, documentation, and secure self-service workflows. This hands-on, in-person role supports San Francisco, New York, and remote employees while establishing scalable IT processes and security controls.

Design and implement evaluations for AI agents across voice, vision, and browser use. Build benchmarks, simulations, and scoring systems for customer-specific scenarios, then use evaluation findings to improve agent behavior, context, and underlying models.

Own and evolve LiveKit’s developer-facing website by building high-performance web experiences, reusable brand components, motion systems, and launch pages. Translate brand and design concepts into polished production code, maintain strong performance budgets, and collaborate closely with designers, marketers, and engineers. The role emphasizes front-end engineering, animation, interaction design, speed, and self-directed delivery.

Create precise 3D CAD models, assembly drawings, part drawings, and bills of material for airborne optical and optoelectrical hardware. Perform tolerance analyses, select materials, and translate optical requirements into manufacturable mechanical designs. Collaborate with engineering, manufacturing, supply chain, and suppliers; support prototypes, fit checks, integration, troubleshooting, drawing releases, revision control, and configuration updates.

Conduct independent AI research for predictive toxicology and drug safety. Develop novel deep learning architectures, multimodal models, representations, uncertainty methods, and mechanistic reasoning approaches for heterogeneous biological and chemical data. Design rigorous experiments, benchmarks, ablations, and generalization evaluations while collaborating with engineering and scientific teams to translate validated research into scalable modeling systems. Contribute to scientific strategy, publications, collaborations, and regulatory validation.

Early-employee, open-call role for candidates passionate about accelerating UAV swarm and spatial AI capabilities for national security. Help shape company direction, propose a role, and describe relevant past projects. Requires optimistic, tenacious, self-determined, and highly motivated individuals. Must meet ITAR eligibility (US Citizen, Green Card holder, or asylee/refugee).

Build and ship React and TypeScript interfaces for a Chrome extension and web apps, partnering on UI/UX, accessibility, performance, data models, APIs, and AI-generated scaffold quality. Contribute to Node.js and MongoDB systems, expand compatibility across educational platforms and documents, and support privacy, security, reliability, and product decisions on a small startup team.