Top Entry Level Artificial Intelligence Jobs

Build and deploy AI-powered automations, tools, agents, dashboards, data pipelines, and agentic workflows for a private equity firm and its portfolio companies. Evaluate emerging AI models and frameworks, rapidly prototype solutions, integrate Claude and Microsoft 365 tools, and iterate based on user feedback. The role requires shipping working code, collaborating directly with investment professionals, and working onsite in Manhattan Beach five days per week.

Write and shape long-form technical content about AI model evaluation, benchmarks, enterprise workflows, research, products, and emerging policy. Interview technical stakeholders, produce reports, launches, case studies, explainers, and analyses, while developing editorial strategy and ghostwriting for leadership. The role requires strong technical literacy, editorial judgment, rapid publishing ability, and in-person work in San Francisco.

Serve as a technical partner throughout the sales cycle, designing solutions, conducting demonstrations and proofs of concept, and supporting customer onboarding, implementation, expansion, and deployments. Translate industrial and security use cases into scalable drone workflows, guide API, networking, airspace, BVLOS, and docked operations strategies, and provide actionable feedback to Product and Engineering. The remote role requires 50–75% travel and significant customer engagement.

Own Tern’s global brand and demand generation strategy, clarify its new category, and drive growth across travel advisors, agencies, and suppliers. Responsibilities include developing messaging, sourcing customer stories, building content, PR, digital, and event programs, establishing supplier-market presence, running weekly experiments, applying AI to marketing execution, and building a small high-performing team.

Build and maintain Convex’s dashboard, integrations, CLI, MCP, and other platform services. Collaborate directly with customers and leadership to define features, create intuitive product experiences, improve access controls, and deliver high-quality full-stack software. The role emphasizes UX sensibility, architectural thinking, simplicity, pragmatism, startup adaptability, customer focus, and occasional on-call support.

Operate and scale Kong’s global multi-region SaaS platform across AWS, GCP, and Azure. Build Kubernetes infrastructure, Terraform-based automation, Helm and ArgoCD deployment workflows, CI/CD pipelines, observability systems, and highly available data layers. Improve Kong Gateway and Mesh environments, reliability, scalability, security, disaster recovery, and cost efficiency. Participate in 24/7 on-call, incident response, SLO tracking, postmortems, and operational improvement initiatives.

Develops post-training recipes and data pipelines for AI models, creates evaluations, builds agentic systems with custom tools, and integrates reasoning capabilities into live scientific workflows. The role collaborates with scientists, robotics engineers, and operations teams to improve experimental design and assay development while shaping the technical direction of a new machine learning team.

Build Kyte’s applied AI platform, including digital twins, autonomous agents, memory systems, detection frameworks, evaluation tools, and distributed infrastructure supporting thousands of agents. Work closely with the CTO, make scalable architectural decisions, engage directly with customers, and own projects end to end. The role requires full-stack development, large-scale data processing, rapid product delivery, and communication of complex technical concepts to nontechnical audiences.

The job description is an incomplete sample template and does not provide responsibilities, qualifications, or other role details. The posting should be updated before publication.

Architect and deliver advanced multi-die IC packages for high-performance AI accelerators. Responsibilities include package and substrate design, bump and ball mapping, high-speed signal routing, power distribution, manufacturability, thermal and mechanical optimization, subcontractor management, and collaboration with TSMC or OSAT. The role also supports package bring-up, failure analysis, debugging, qualification, and evaluation of emerging packaging technologies.