Top Entry Level Artificial Intelligence Software Engineer Jobs

Build and operate cloud infrastructure for massively parallel simulations, including orchestration, scheduling, GPU pools, storage, and observability. Develop customer-facing web applications, SDKs, CLIs, dashboards, deployment pipelines, and agentic harnesses. Own system performance, reliability, cost, and integrations involving APIs, CI, data exchange, and authentication. Collaborate with customers and internal teams while shipping production-ready developer-facing systems.

Build and maintain scalable JavaScript applications, API integrations, and open-source projects for global clients. Responsibilities include writing and reviewing code, debugging across frontend, backend, database, and network layers, optimizing performance, designing scalable architectures, handling concurrency, documenting technical work, and addressing edge cases. The role is fully remote and includes structured technical growth, peer feedback, and an assessment process involving an OSS hackweek.

Develops software solutions at Zoom, collaborating in a fast-paced, customer-focused environment to support communication and collaboration products. The provided description does not include specific responsibilities, qualifications, technologies, salary figures, or travel requirements.

This is a general open-application posting inviting candidates who don't see a listed role to apply. Marimo seeks people passionate about developer tools who thrive in ambiguity, enjoy solving large-scale engineering problems, and want greenfield challenges working on a next-gen Python notebook and cloud-hosted platform.

Develop and support SAP ERP and S/4HANA financial applications through ABAP development, debugging, code corrections, integrations, performance optimization, legal changes, and customer enhancements. Build CI/CD automation and work with SAP BTP, DevOps tools, Public Sector Management, G-Invoicing, Finance, and Supply Chain solutions. Collaborate with global user groups while following compliance, privacy, localization, and SAP development standards.

Build and deploy AI-powered solutions for heavy-industry customers. Responsibilities include understanding manufacturing, physics, and chemistry problems; analyzing data; developing models; writing frontend and backend code; building infrastructure and automation; rapidly prototyping; and consolidating successful solutions into robust software. The role requires extensive customer-site collaboration, strong communication, comfort with ambiguity, and travel of 25% to 75%.

Develops, customizes, and supports Order Management System solutions for retail and e-commerce. Responsibilities include building order workflows, integrating OMS with e-commerce, payment, ERP, WMS, and shipping systems, developing APIs and services, supporting payment processing, troubleshooting production issues, optimizing performance, testing, deployments, and documenting solutions.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Leads the architecture and development of customer-facing SDKs, APIs, CLI tools, examples, documentation, developer workflows, and portal integrations for an AI SoC platform. Partners across AI, multimedia, robotics, tools, release, and SQA teams to deliver reliable installation, deployment, compatibility, and release experiences. The role also hires, mentors, and leads engineers focused on developer tools, documentation systems, APIs, and sample applications.