Top Artificial Intelligence Software Engineer Jobs

Design, implement, test, debug, and evaluate production-grade Rust backend systems for AI training projects. Responsibilities include API and persistence development, asynchronous and concurrent processing, performance optimization, reliability analysis, architecture review, reproducible test environments, containerized workflows, and technical documentation. The role requires identifying correctness, scalability, and failure-handling issues while delivering high-quality implementation artifacts and meeting weekly project deadlines.

Build and own Keycard’s infrastructure platform, including bring-your-own-cloud deployments, multi-tenant and single-tenant cells, infrastructure as code, Kubernetes operations, releases, upgrades, observability, security guardrails, and audited break-glass workflows. Develop tooling and agents for installation, diagnostics, and operational support. Define compatibility matrices, deprecation policies, and upgrade processes while partnering directly with enterprise cloud and security teams.

Build and scale a multi-tenant B2B SaaS product for metal recycling operations. Own data modeling, APIs, UI, UX, deployment, integrations, dashboards, and agentic data features end to end. Collaborate with operators, plant managers, the CTO, and product teams to design workflows, integrate ERP and plant data, and deliver reliable software used on the plant floor. The role is remote within the US with occasional customer-site and company travel.

2027 software engineering graduates will join a fast-moving, on-site NYC startup building AI audit software. Responsibilities include delivering features end to end, collaborating with product and engineering leaders, solving user problems, participating in code reviews and stand-ups, and learning new technologies. Candidates should be pursuing or recently completed a computer science-related bachelor’s degree, understand software fundamentals, demonstrate strong problem-solving skills, and take ownership of projects.

Lead frontend feature releases and own user experience, performance, testing, and production health for a React and TypeScript dental practice management platform. Collaborate with backend engineers using Java Spring Boot, develop AI-powered interfaces, integrate AI tools such as Claude, participate in code reviews, improve team efficiency, and estimate development work for timely delivery.

Design, build, and improve scalable backend systems, REST APIs, microservices, data-processing systems, and distributed job platforms. Write secure, maintainable, high-performance code; practice test-driven development; debug production issues; improve engineering standards and tooling; and participate in on-call rotations. The role requires designing highly available systems, building backend APIs, working with relational databases, and applying security best practices.

Build and lead software features and projects from scratch in a fast-paced AI SaaS startup. The role requires strong systems and infrastructure knowledge, experience with JavaScript frameworks and full-stack web applications, rapid learning, execution, communication, and in-person collaboration. Experience with large-scale data pipelines or search clusters is a bonus.

Develop and maintain enterprise web and desktop applications using the Microsoft .NET stack, including ASP.NET, C#, JavaScript, and SQL Server. Perform unit testing, troubleshooting, performance tuning, and scalable application design. Participate in Agile software development lifecycle activities, create technical documentation and models, and improve development frameworks, standards, and processes.

Develop front-end interfaces for entering rates into a SQL Server backend. Collaborate with web and database developers on a critical Wells Fargo project. Responsibilities include C# and ASP.NET MVC development, Entity Framework implementation, software architecture, test-driven development, dependency injection, design patterns, JavaScript development, T-SQL, database design, and clear technical communication.

Design software systems based on business requirements, troubleshoot and resolve reported issues, perform peer code reviews, and develop .NET applications using C#, ASP.NET MVC, Web API, Entity Framework, and SQL Server. The role also applies object-oriented design, design patterns, SOLID principles, dependency injection, unit testing, source control, and continuous integration practices.