Top Entry Level Artificial Intelligence Jobs

Source and engage candidates across technical and non-technical roles, research talent markets, support interviews and onsite experiences, improve recruiting processes with AI and automation, and contribute to projects that accelerate hiring.

Develops and optimizes short-term supply plans, production schedules, inventory transfers, and plant inventory targets. The role analyzes Oracle Cloud recommendations, inventory trends, customer demand, and supply risks; coordinates with manufacturing, procurement, sales, transportation, and finance; manages interplant transfers; supports S&OP meetings; and improves customer service and order-fill metrics.

Own developer relations for an AI safety platform by leading technical launches, creating content, organizing hackathons and meetups, growing open-source communities, and building partnerships with AI labs and developer tool companies. The role also contributes to promotional videos, tracks adoption metrics, and engages engineers and AI researchers across technical channels.

Own the government pursuit pipeline by identifying and qualifying SLED and federal opportunities well before RFP release. Build a rolling calendar, score opportunities, map stakeholders and incumbency advantages, recommend bid/no-bid decisions, and provide AEs with a ranked shortlist of winnable pursuits. Establish qualification criteria from win/loss analysis, maintain accurate pipeline data, support opportunity shaping, and protect win rates as bid volume grows.

The job description provides limited role details. The AI Fullstack Engineer will presumably help develop AI-powered software solutions for higher education institutions, supporting administrative automation, student engagement, and data-driven decision-making. Specific responsibilities, technologies, qualifications, experience requirements, compensation, travel, and clearance information are not provided.

Own Ami’s go-to-market strategy from pre-launch through mass adoption. Responsibilities include consumer research, positioning, launch planning, distribution activation, demand generation, brand storytelling, growth experimentation, funnel measurement, retention, referrals, and building the future GTM team. The role works directly with founders to establish a repeatable acquisition and distribution engine for a voice-first AI consumer hardware product.

Work directly with customers to design, prototype, deploy, and troubleshoot production systems using Restate’s durable execution infrastructure. Responsibilities include architecture discussions, distributed systems problem-solving, code development, proof-of-concepts, integrations, production operations, technical evangelism, and translating recurring customer challenges into tooling, documentation, and product improvements.

Build the end-to-end architecture of an AI-powered software factory, including high-throughput telemetry capture, privacy pipelines, knowledge graphs, autonomous coding agents, and production deployment. Personally execute client workflow mapping and software delivery, then automate those processes for future deployments. The role requires strong product judgment, full-stack ownership, enterprise workflow optimization, and in-person collaboration in San Francisco.

Develop and optimize machine learning methods for intrinsically disordered proteins, including generative models for protein conformational ensembles, affinity prediction, and generative chemistry. Build scalable training pipelines, adapt research methods, and collaborate with computational and experimental scientists to validate models using biophysical data.

Build and improve a full-stack product that enables customers to manage AI agent workflows, including exception queues, reconciliation reviews, approvals, reporting, APIs, and agent SDK tools. The role involves frontend and backend development, real-time interfaces, workflow reliability, traceability, customer feedback, and polished user experiences. Engineers work in person with customers and a small founding team to shape product direction and solve ambiguous technical problems.