Top Entry Level Artificial Intelligence Software Engineer Jobs

Build and deploy AI-powered marketing solutions for enterprise customers. Responsibilities include scoping technical requirements, developing proof-of-concepts, integrating customer marketing infrastructure, building data pipelines and custom functionality, deploying AI workflows, supporting customer success, and translating deployment insights into reusable product capabilities. The role requires close collaboration with sales, deployment strategists, engineering, product, and growth teams in an in-person San Francisco environment.

Build and ship customer-driven fixes and features in SageOx’s core product. Engage customers through Slack and onsite onboarding, debug integrations, design workflows, educate users, create documentation, and synthesize customer feedback into product insights. The role requires independent software development, strong communication, comfort with AI tools, and occasional travel to customer sites while working onsite in Seattle.

Build and ship software for AI applications supporting government decision-making. Responsibilities include developing guardrails, RAG and agent orchestration systems, data pipelines, evaluation infrastructure, anomaly detection, audit interfaces, and full-stack mission-data tools. Deploy and harden applications in secure, air-gapped, and cloud environments while working directly with government stakeholders.

Build and scale Base360.ai’s short-term rental platform across frontend, backend, integrations, automation, AI workflows, dashboards, and customer-facing features. Own products end to end, from understanding customer problems through deployment and iteration. Develop reliable APIs and integrations with Airbnb, Stripe, Twilio, OpenAI, and other partners while improving usability, scalability, security, and operational outcomes.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

Build Syntro’s AI-powered hardware procurement platform across the frontend and backend. Work directly with procurement customers to identify problems, prototype solutions, define product workflows, and deliver production features. Own customer problems from discovery through adoption, connect procurement data across suppliers and purchasing workflows, and design intelligent human-agent interactions. The role requires strong TypeScript and React skills, product and design judgment, customer empathy, and the ability to build zero-to-one products independently.

Architect and build the company’s core data and AI infrastructure, including data pipelines, agentic workflows, backend systems, API integrations, frontend widgets, and developer tools. Own product verticals end to end, rapidly ship production-ready features, collaborate with founders on product direction, and help establish engineering culture, hiring, and development practices.

Build and maintain full-stack software for scientists and technical users, including interfaces, backend services, data models, integrations, and scientific workflow tools. Work directly with laboratory users to understand protocols, instruments, and experimental records, then translate needs into practical products. Own development from prototyping through production, including testing, deployment, monitoring, access controls, debugging, and performance improvements. Make product decisions, validate solutions with users, and support reliable scientific data workflows.

Develop and test software for robotic warehouse automation across front-end, back-end, embedded, and test automation functions. Collaborate on Agile teams, build .NET distributed and microservice architectures, create log visualizations, write high-quality code, and support customer integrations. The role involves C#, Python, C++, Linux, Git, testing frameworks, CI/CD, and technologies including Kubernetes, RabbitMQ, and Redis.

Build and scale Tamarind Bio’s computational biology platform, including infrastructure, APIs, web interfaces, ML services, and deployment systems. Partner with founders and customers to define products, ship features, operate reliable services, and support AI-powered drug discovery workflows. Responsibilities span AWS DevOps, MLOps, frontend development, HPC scaling, model deployment, architecture, coding, design reviews, and practical production operations.