Top Entry Level Artificial Intelligence Software Engineer Jobs

Develop and maintain full-stack web applications for map creation and geospatial visualization. Build front-end mapping tools and back-end APIs, data workflows, and persistence services. Integrate spatial databases, GIS data, OGC services, and enterprise systems while preserving geometry, topology, projections, attribution, and metadata. Support geospatial data ingestion, validation, testing, documentation, Agile delivery, performance troubleshooting, and secure software development.

Build integrations directly with AI shopping agent and developer customers, ensuring they work in production. Own API and MCP pricing and packaging, close the first paying accounts, support onboarding, and bring customer learning back into the product. This role combines hands-on integration engineering, technical sales, account support, and commercial ownership. The engineer will also help define the operating charter and playbook for future forward deployed hires.

Designs, develops, tests, troubleshoots, and debugs software systems and subsystems for storage-related products. The engineer implements enhancements, analyzes coding and integration requirements, writes testing plans and documentation, identifies software issues, and collaborates with internal and outsourced development teams to deliver reliable solutions.

Develop and support automation software for semiconductor manufacturing operations, including automated material handling systems and MES applications. Gather requirements, coordinate testing and tool upgrades, troubleshoot automation issues, support software releases, document procedures, and collaborate with automation, fab software support, and manufacturing teams. The role requires Perl or Python scripting, SQL development, software lifecycle knowledge, Scrum experience, and software testing skills.

Build and polish Notion’s native Android experience using Kotlin and Jetpack Compose. Develop core features such as page rendering, editing, navigation, Home, Search, and Inbox while improving startup time, scrolling, typing latency, reliability, offline functionality, and memory use. Partner with product and design, use AI coding tools, own a core product area, and contribute to testing, monitoring, and shared mobile frameworks.

Leads and grows the Dashboard engineering team responsible for Vercel’s customer-facing developer platform. Partners with Product, Design, Data, and engineering teams to set priorities, guide frontend architecture, improve performance and reliability, contribute code, manage incidents, and balance product delivery with long-term scalability. Builds a high-performing, inclusive team while ensuring an intuitive, high-quality developer experience.

Design and build software for global network infrastructure, including automation, orchestration, provisioning, lifecycle management, telemetry, validation, remediation, and DPU/SmartNIC integration. Lead architecture for scalable, reliable infrastructure systems, write RFCs and technical proposals, guide cross-functional initiatives, establish engineering standards, mentor engineers, and provide technical direction for emerging programmable and hardware-accelerated networking technologies.

Build full-stack, agent-driven software for SOX control testing and internal audit workflows. Design reliable and observable LLM agent systems, create structured audit deliverables, own end-to-end technical workstreams, and collaborate with product, design, auditors, and domain experts. Engineers will help shape agentic architecture, AI tooling, evaluation practices, and product direction while working on ambiguous 0-to-1 initiatives.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.

Build, optimize, and maintain software systems using AI while collaborating across disciplines to develop user-focused solutions. Apply secure coding practices, participate in code reviews, and contribute to high-quality features. The role involves working with front-end or back-end technologies, databases, cloud platforms, and AI-assisted development in a mission-driven healthcare technology environment.