Top Artificial Intelligence Software Engineer Jobs

Build and deploy production-grade integrations, full-stack applications, and AI-enabled solutions directly within customer environments. Collaborate with technical stakeholders and executives, translate ambiguous business problems into scalable software, evaluate AI system reliability, guide deployments, troubleshoot complex issues, and provide customer feedback to product and engineering teams.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

Develop and maintain full-stack applications across frontend and backend systems. Collaborate with design and product teams to prototype and deliver secure, reliable customer experiences. Integrate multiple services, write maintainable code with tests and observability, optimize performance, troubleshoot production issues, and identify enhancements. Communicate progress to stakeholders while owning solutions throughout the software development lifecycle.

Build core architecture and products for a global payments platform from 0-to-1. Lead and mentor engineers, own full stack and uptime, design ledger data architecture, and integrate banking/on-off ramp providers while balancing speed and scalability.

Leads and scales the Forward Deployed Engineering organization from a small team to 10+ engineers. Owns technical delivery for strategic healthcare customers, including AI agent deployments, custom EHR integrations, and workflow implementations. Establishes repeatable deployment practices, tooling, and processes; partners with product and engineering teams to convert field insights into platform improvements; and remains hands-on with technical discovery, production debugging, and solution design.

Build and maintain Leland’s platform and foundational infrastructure while collaborating with product, design, and engineering teams. Develop high-quality, performant code, propose product innovations, and ensure quality through testing and code reviews. Contribute to an inclusive, collaborative team culture and help shape products in a fast-paced, AI-native startup environment.

Build and ship customer-facing software through an end-to-end internship project. Write clean, performant code with mentorship and code reviews, collaborate with engineering, design, and product teams, and contribute to product and engineering decisions in a fast-moving startup environment.

Build Android SDKs and end-user applications that collect sensor data, provide real-time feedback, and support indoor item positioning. Integrate mobile software with RFID scanners, barcode readers, peripheral hardware, and third-party systems. Drive complex projects end to end, contribute across the product lifecycle, and collaborate autonomously with business stakeholders. Emphasize maintainable, performant mobile architecture, correctness, intuitive user experiences, and potentially backend development, testing, and enterprise SDK support.

Work directly with scientists to understand workflows, identify valuable use cases, drive customer pilots, configure and troubleshoot the AI platform, build lightweight solutions, train users, and convert customer feedback into reusable product capabilities. The role requires technical problem-solving, scientific fluency, strong customer engagement, teaching ability, independent execution, and comfort operating in an ambiguous startup environment.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.