Top Entry Level Artificial Intelligence Jobs

Build and optimize infrastructure, developer tooling, build systems, CI/CD, APIs, services, and deployment platforms. Investigate performance bottlenecks across software, operating systems, storage, networks, and hardware; improve observability, reliability, provisioning, and recovery. Develop internal platforms used by multiple engineering teams, maintain homelab infrastructure, and measure the impact of performance and workflow improvements.

Lead and grow the platform engineering team while providing hands-on technical direction. Design and build scalable enterprise platform systems covering identity, access management, integrations, extensibility, reliability, security, compliance readiness, and operational excellence. Translate customer needs into technical deliverables, mentor engineers, and guide development in an ambiguous startup environment. AI agent or production LLM experience is beneficial.

Generates and qualifies new business opportunities through strategic outbound sales. Maintains lead records and prioritization in Salesforce, collaborates cross-functionally on top-of-funnel strategy, and provides market feedback to product and engineering teams. The role requires strong communication, organization, analytical ability, adaptability, and a self-starting mindset in a fast-paced startup environment.

Build and manage outbound sales campaigns targeting major insurers and Fortune 500 companies. Research prospects, identify stakeholders, conduct multichannel outreach, qualify opportunities, book qualified meetings for Account Executives, and improve the outbound playbook through prospect feedback. This entry-level, in-office role requires strong communication, resilience, organization, coachability, and ambition to develop a sales career.

Conduct research on how consumer LLMs search, reason, and synthesize information; design experiments and causal inference analyses; support product and engineering decisions with rigorous measurement; and build data pipelines and recurring evaluations that turn evolving research findings into product capabilities.

Develop and productionize machine learning models for industrial process optimization using spectral and multimodal sensor data. Responsibilities include designing experiments, building preprocessing and feature extraction pipelines, monitoring model and sensor drift, detecting anomalies, developing ML infrastructure, and applying chemometrics, hybrid modeling, self-supervised learning, probabilistic reasoning, and time-series techniques.

Create launch videos, product demos, brand films, and social content from concept through final animation. Responsibilities include developing storyboards and style frames, designing typography and graphics, animating product interfaces and workflows, collaborating with the Creative Director and product team, and incorporating feedback. A strong portfolio, motion design experience, animation fundamentals, and proficiency in After Effects or equivalent software are required.

Secure cloud infrastructure, Kubernetes, containers, data pipelines, identity systems, secrets, CI/CD workflows, and software supply chains. Implement Terraform guardrails, encryption, network segmentation, IAM controls, observability, threat modeling, incident response, red-team exercises, tabletop drills, penetration testing, and compliance controls for creator and AI training data.

Own end-to-end interview coordination, candidate communication, ATS data integrity, recruiting metrics, documentation, and talent operations workflows. Build AI-augmented automations and reporting processes, maintain recruiting and people technology infrastructure, and partner with People and Talent leadership on scalable operational improvements across regions.

First engineering hire responsible for defining the technical foundation, selecting the technology stack, and building Orpex’s AI workforce infrastructure. The role involves shipping production agent systems, owning full-stack development and deployment, engaging users, iterating on products, managing infrastructure and UI, and helping hire future engineers.