Top Entry Level Artificial Intelligence Software Engineer Jobs

Develops software, algorithms, models, and simulations for complex technical systems. Conducts technical research and analysis, performs requirements analysis and testing, documents results, and collaborates with scientists, engineers, and software specialists to create new capabilities. Work may involve sensors, satellites, space physics, network analysis, artificial intelligence, computer vision, statistics, cybersecurity, and quantum computing.

Deploys, fine-tunes, and serves open-source AI models on rented GPUs using tools such as vLLM and SGLang. Builds public example repositories, Docker templates, benchmarks, and live endpoints, then teaches through technical writing, videos, talks, livestreams, and community support. Reports product friction to engineering and product teams, represents Vast at hackathons and conferences, and serves as a highly credible technical voice across developer communities.

Build and own core systems for an agentic integration platform, including multi-agent orchestration, integration runtime infrastructure, durable execution, self-healing systems, and knowledge management. Work directly with founders, establish engineering patterns, make architectural decisions, and ship production software continuously using TypeScript, React, Bun, Effect-TS, PostgreSQL, Kubernetes, and AWS.

Build and own a 0-to-1 talent engineering function by integrating Workday, Greenhouse, Gem, and BrightHire; creating governed talent data infrastructure; developing AI agents and automated workflows; improving recruiting analytics, sourcing, interview quality, offer effectiveness, and recruiter capacity; and evaluating build-versus-buy opportunities. The role requires production integration engineering, backend scripting, SQL, LLM workflows, access-control design, and experimentation skills.

Build and refine Ollama’s desktop app, CLI, onboarding, APIs, and integrations with developer tools and agent harnesses. Develop native, backend, and web systems supporting local and cloud models, test complete user workflows, improve compatibility, and partner with model and inference engineers to ship reliable product experiences.

Build Clarity’s product experiences end to end, collaborating with product design to create an intuitive user experience. Develop frontend infrastructure, abstractions, design systems, performance and monitoring capabilities. Own product improvements and make decisions amid ambiguity. Support customers, participate in sales calls and onboarding, and explore generative AI applications that solve customer problems.

Build frontend features across Sierra’s product and marketing sites. Develop Sanity CMS infrastructure, structured content models, preview workflows, analytics, experimentation, localization, and accessibility-focused components. Own Core Web Vitals, asset optimization, and performance improvements while collaborating with marketing, sales, operations, designers, and content teams.

Build the foundational inference cloud platform, including its control plane, API, serving layer, routing, model placement, scheduling, reliability, and observability. The role involves scaling a heterogeneous GPU and ASIC fleet, partnering with data center and model deployment teams, and shaping platform architecture as an early individual contributor at a small startup.

Build scalable backend infrastructure and core product systems for an AI revenue engine. Connect complex customer data sources and create reliable foundations for autonomous quoting, data enrichment, and revenue workflows in production.

Work directly with founders and platform developers to solve enterprise customer problems rapidly. Responsibilities include decomposing customer challenges, designing paradigms that advance the company’s supply-chain ontology, and rethinking data flows across customer systems. The role requires full-stack production experience, modern web development skills, AI-native development proficiency, and comfort working with enterprise customers and executives.