Top Entry Level Artificial Intelligence Jobs

Designs and deploys AI-enabled decision workflows for Department of Defense and federal customers. Responsibilities include configuring data models, dashboards, what-if scenarios, AI agents, and automated workflows; integrating and transforming data; troubleshooting customer issues; advising end users; supporting adoption; and collaborating with product and development teams. The role combines solutions engineering, analytics, customer advisory, and agentic AI workflow design across enterprise platforms.

Founding Product Designer owning end-to-end design for Temper’s agentic integration platform, including agentic UX, platform UX, and brand. The role requires designing dense technical B2B SaaS products, implementing production frontend code, shaping the design language, and collaborating closely with the founders and engineering team. This is an in-person, early-stage role in San Francisco with high ownership and a hands-on design engineering focus.

Own Ollama’s developer relations strategy and execution by engaging developer communities, partnering with model labs and hardware companies, creating technical content, gathering user feedback, and delivering demos at meetups and conferences. The role combines hands-on engineering with public-facing communication, including code, tutorials, technical blog posts, videos, and social content built around open models.

Build Clarity’s product experiences end to end, collaborating with product design to create an intuitive user experience. Develop frontend infrastructure, abstractions, design systems, performance and monitoring capabilities. Own product improvements and make decisions amid ambiguity. Support customers, participate in sales calls and onboarding, and explore generative AI applications that solve customer problems.

Lead the end-to-end design of Kin’s patient and caregiver healthcare experiences. Translate complex workflows into intuitive, high-fidelity interfaces; collaborate closely with engineering; write product copy; conduct lightweight user research; build scalable design systems; and experiment using data to improve clarity, trust, and behavior change.

Inputs, updates, verifies, and maintains data across company systems; performs quality checks, corrects discrepancies, generates reports, protects confidential information, and recommends process improvements. Collaborates with internal teams and works independently in remote or hybrid environments.

Develop and deploy computer vision modules and machine learning models within AI pipelines. Integrate models with data and software engineering teams, support prototypes, automate data pipelines, build internal tooling, and monitor production performance. The role also involves optimization, infrastructure and security support, staying current with computer vision advancements, and collaborating cross-functionally.

Test new web and mobile features, report bugs and usability issues, run manual and automated tests, review requirements and designs, improve QA processes and documentation, and provide UI/UX feedback while collaborating with product, design, and engineering teams.

Build AI agent sample apps, demos, SDKs, and tutorials using Kernel’s browser infrastructure. Own technical content from concept through code, writing, video production, and documentation. Engage developer communities across GitHub, Slack, Discord, and X, while partnering with Engineering, Product, and Marketing on content strategy and launches.

Own the company’s commercial development from prospecting through signed projects. Identify developers and hyperscalers pursuing large-scale energy and data center projects, leverage investor and industry networks, educate customers on faster iterative engineering, and discover opportunities aligned with the product. Translate customer needs into product priorities while managing every detail independently. Automate repetitive work with AI and build relationships with sophisticated customers in an early, in-person San Francisco environment.