Top Entry Level Artificial Intelligence Jobs

Own the workflow engine powering customer runs, including scheduling, queues, retries, batching, idempotency, provider integrations, observability, and cost controls. Scale Postgres and Redis while improving reliability across high-volume data workflows. Work autonomously, use coding agents extensively, and make technical decisions for an early-stage platform.

Own end-to-end recruitment for go-to-market roles across the US, including sourcing passive candidates, partnering with hiring managers, managing interview processes, and guiding candidates through offers. The role requires representing Unframe’s mission, improving hiring structure and pace, and supporting rapid growth in an AI startup environment.

Advance AI data and agentic environment creation by designing scalable pipelines combining automated generation, real-world data, and expert judgment. Run experiments, evaluate data and model performance, collaborate with engineering, product, customers, and domain experts, and translate research prototypes into production workflows. The role also involves developing expert-authoring workflows, monitoring frontier research, and representing findings through publications, talks, blogs, and customer engagements.

Work through a backlog of unconverted marketing leads using phone, AI-assisted LinkedIn prospecting, and persistent outreach. Qualify prospect interest, arrange well-prepared handoffs to Account Executives, maintain accurate CRM records, and share prospect feedback with Sales and Marketing. The role primarily targets financial advisors and wealth management professionals and focuses on increasing marketing-lead conversion.

Own the company’s integration surface, beginning with CargoWise and expanding to Magaya, Descartes, and other operational platforms. Build safe bidirectional write-back connectors with idempotency, replay, reconciliation, validation handling, and workflow safeguards. Integrate deeply with the company’s canonical connector architecture using Python, FastAPI, Celery, PostgreSQL, Redis, and AWS. Apply hands-on TMS and CargoWise/eAdaptor expertise to modify customer systems of record reliably in production.

Design, develop, test, maintain, and facilitate AI literacy training for OpenAI Academy’s in-person and virtual programs. Create slide decks, facilitator guides, demonstrations, exercises, and supporting materials; adapt content for varied audiences; collaborate with subject-matter experts; coach facilitators; verify product workflows; manage versions; and use feedback and assessment data to continuously improve learning experiences.

Develop and maintain full-stack features for a SaaS platform supporting clinical trial workflows. Responsibilities include Python-based application development, frontend collaboration, architecture, testing, code review, refactoring, reliability, data integrity, and regulatory compliance. The engineer will collaborate with product, design, machine learning, infrastructure, clinical, QA, and regulatory teams while contributing to a distributed engineering organization.

Oversee educational program delivery across schools and community locations, including scheduling, staffing, classroom launches, equipment, facilities, enrollment, and compliance. Supervise and coach instructors, maintain operational procedures, resolve field issues, and communicate with families and school administrators. Develop school and community partnerships, support outreach and proposals, manage implementation, and contribute to enrollment and revenue goals. Maintain accurate operational, attendance, staffing, sales, and partnership records while supporting reporting and process improvements.

Provide technical pre-sales expertise for Jumio’s identity verification, KYC, AML, authentication, and risk management solutions. Responsibilities include consulting with prospects, leading technical presentations, responding to RFPs and RFIs, managing proofs of concept, onboarding customers through go-live, delivering customized web and mobile demos, and supporting sales, account management, product, engineering, and marketing teams.

Own and evolve the company-wide SRE strategy, reliability standards, observability practices, incident management, service ownership, SLOs, and on-call operations. Lead cross-functional reliability initiatives, establish dashboards, alerts, runbooks, and escalation paths, improve production readiness and incident response, and operate large-scale distributed systems across AWS and Kubernetes. Participate in a 24/7 on-call rotation and help shape the SRE function.