Top Entry Level Artificial Intelligence Software Engineer Jobs

Ode with Anthropic is recruiting existing teams of 2–5 engineers to join together and build applied AI products for enterprise clients. Teams participate in a shared interview process, receive simultaneous offers, and are staffed together on an initial engagement. Candidates should have experience building complex AI systems, applying strong software engineering practices, and deploying production-ready products. Common individual roles include Software Engineer, Senior or Staff Software Engineer, and Forward Deployed Product Manager.

Own customer deployments from technical scoping through implementation. Build deployment tooling, replay and evaluation systems, configurations, and customer-stack integrations. Collaborate with agent engineers by reproducing issues and proposing fixes, join customer calls, lead technical discussions, and turn deployment learnings into reusable playbooks.

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.

Develop and maintain full-stack applications and interfaces between multiple systems using Java, C/C++, scripting languages, Spring Boot, RESTful services, databases, search platforms, and Linux. Support application troubleshooting, system integration, reporting, and dissemination tools. Participate in an agile environment and provide rotating 24/7 pager support for emergencies. An active TS/SCI clearance with polygraph is required.

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.