Top Entry Level Artificial Intelligence Software Engineer Jobs

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.

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.