Top Entry Level Artificial Intelligence Software Engineer Jobs

Own and evolve LiveKit’s developer-facing website by building high-performance web experiences, reusable brand components, motion systems, and launch pages. Translate brand and design concepts into polished production code, maintain strong performance budgets, and collaborate closely with designers, marketers, and engineers. The role emphasizes front-end engineering, animation, interaction design, speed, and self-directed delivery.

Own the development of LiveKit’s marketing website and brand system. Build high-performance launch and product pages, reusable components, motion patterns, and tooling that translate brand designs into polished web experiences. Collaborate with designers, marketers, and design engineers while maintaining strict performance standards and Core Web Vitals. The role emphasizes front-end engineering, interaction design, animation, fast delivery, and solving complex technical problems.

Build and ship React and TypeScript interfaces for a Chrome extension and web apps, partnering on UI/UX, accessibility, performance, data models, APIs, and AI-generated scaffold quality. Contribute to Node.js and MongoDB systems, expand compatibility across educational platforms and documents, and support privacy, security, reliability, and product decisions on a small startup team.

Build production-grade automation workflows, integrations, custom nodes, and reusable patterns for strategic enterprise deployments. Embed with customers during focused on-site engagements, translate ambiguous business problems into practical technical solutions, and collaborate with Deployment Strategists, Product, and Engineering. Capture customer feedback for product improvements, create internal playbooks, and deliver scalable solutions that customers can operate independently. The role requires frequent travel, strong engineering and integration skills, customer-facing confidence, and sound technical judgment.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Administer the studio’s AYON or OpenPype production pipeline across shows, including project setup, permissions, naming conventions, status workflows, publishing, and database integrity. Own production data I/O from ingest through transcoding, QC, packaging, and client delivery. Support DCC and review-tool integrations, configure new shows, document workflows, and ensure assets are clean, versioned, and properly tracked.

Own product surfaces end to end, spanning backend systems, APIs, user experience, deployment, observability, evaluations, and feedback loops. Work directly with AI companies and users to design products using models with memory. Prototype agentic products and internal tools, train models for demonstrations, develop telemetry and evaluations, collaborate with model researchers, and help establish product engineering standards.

One-week, in-person Denver bootcamp for recent or upcoming graduates interested in becoming Forward Deployed Engineers. Participants build solutions on Palantir Foundry, including ontology models, data pipelines, and Workshop applications, while working alongside Unit8 engineers. Top performers may receive a job offer after completing the program. The unpaid program emphasizes hands-on building, systems thinking, fast learning, and comfort with ambiguous technical challenges.

Design, develop, test, and maintain scalable full-stack capabilities for the C3 AI Platform. Build platform services, APIs, developer tools, and application features that support large-scale AI applications. Collaborate with product managers, designers, and engineers, troubleshoot issues across the technology stack, participate in code reviews, and improve platform quality, performance, and reliability.

Build and deploy AI-powered solutions for restoration contractors. Travel to customer offices and disaster sites to understand workflows, implement accounts, prototype custom solutions, and turn field insights into product improvements. Own full-stack development across backend, UI, and data plumbing while collaborating with engineering, product, customer success, and customer operators.