Top Entry Level Artificial Intelligence Jobs

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Track and evaluate emerging LLM and AI research, assess models and techniques, build prototypes, and collaborate with engineers to deploy useful methods in client systems. Advise product direction, establish metrics for accuracy, reliability, and cost, and communicate research findings clearly. The role requires strong applied research, engineering, judgment, and communication skills in a fast-changing early-stage environment.

Open application for roles across engineering, product, operations, and customer success at an AI-native EMR startup. Candidates may build AI-agent workflows, improve clinical operations, support implementations, or drive growth and adoption. Emphasis on communication, ownership, and curiosity about AI and healthcare.

Own end-to-end outbound prospecting for cybersecurity SaaS, including account research, cold calling, email and LinkedIn outreach, qualification, objection handling, meeting scheduling, CRM management, and pipeline tracking. Support field events, maintain clean handoff notes, and help build the company's outbound playbook by sharing market feedback, messaging insights, and objections. The role is fully onsite in downtown Salt Lake City.

Own enterprise customer deployments, onboarding, adoption, pilot success, conversion cases, pricing, packaging, procurement, and contract closes. Serve as the founding go-to-market hire, building repeatable commercial processes and the foundation for a future GTM team. The role requires credibility with institutional investors, strong business-case development, high agency, and comfort working alongside technical and scientific teams.

As a Founding Engineer, you will own major product surfaces and contribute to AI search technology development at Petra Labs.

Acquire and qualify inbound and outbound business prospects through phone and email outreach. Communicate Arnata’s value, negotiate customer contracts, exceed sales goals, onboard new shipper partners, and help establish sales best practices while representing the company’s mission and product.

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

Design and build advanced applications, integrate external APIs, and contribute to large open-source codebases for global clients. The role requires strong systems programming, networking, memory management, concurrency, operating-system concepts, data modeling, parallelism, API design, and technical documentation skills. Candidates should learn quickly, take ownership, navigate unfamiliar codebases, identify edge cases, and continuously improve through feedback. The process includes a technical assessment, interview, and OSS hackweek.

Build production software that automates hiring, financial forecasting, capital deployment, contract analysis, accounting, and operational workflows. Partner directly with finance, legal, treasury, recruiting, and delivery experts to convert real-world processes into structured data, generated work, and integrated systems. Develop AI-powered features using LLM APIs, MCP servers, and agentic frameworks, while independently identifying problems, designing solutions, and delivering quickly under deadline.