Top Entry Level Artificial Intelligence Jobs

Build and improve ML and data pipelines, ship full-stack product features, and enhance Mac and Windows desktop applications. Work directly with enterprise customers to clarify requirements, deploy solutions, and turn customer learnings into repeatable product improvements. The role requires high ownership, rapid execution, strong engineering practices, and measurable customer outcomes across applied ML, AI systems, product, and infrastructure.

The employer indicates they are hiring but provides no specific responsibilities, qualifications, technologies, compensation, or work requirements.

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.

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.

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.

Own electrical testing and quality assurance for boards, assemblies, and buoy systems. Troubleshoot failures, develop test procedures, track quality trends, and collaborate with design, manufacturing, and technician teams on root-cause analysis. Support harness documentation, future PCBA design, and custom hardware integrations. The role is intended for an early-career electrical engineer with hands-on project experience, schematic-reading ability, and familiarity with laboratory equipment.