Top Artificial Intelligence Software Engineer Jobs

Lead the technical direction of a real-time fraud detection platform, including streaming, storage, machine learning training pipelines, and distributed systems. Responsibilities include architecture, coding, incident support, technical planning, mentoring, operational excellence, and collaboration with product and customer-facing teams. The role also establishes standards for AI-assisted engineering and develops LLM- and agent-based tools for engineering operations.

Own the integration layer connecting Spherecast with ERPs, FTP and S3 sources, data warehouses, and custom sheets. Build scalable, fault-tolerant, near-real-time pipelines handling large data volumes; orchestrate syncs; validate, normalize, and upsert data; and implement safe write paths for AI-approved ERP actions. Develop round-trip tests, monitoring, structured logging, alerting, auditability, and reusable connector architecture while working directly with customer operators and IT teams.

Staff Forward Deployed Engineer embedded with a major robotics customer, responsible for debugging and improving realtime robot-control systems, SDKs, APIs, ROS 2 integrations, and robot controllers. The role combines customer technical leadership, production incident resolution, software delivery, reliability engineering, and platform generalization. It requires extensive onsite work in the San Francisco Bay Area, with recurring travel to New York.

Deploy and integrate a real-time voice AI platform into complex enterprise banking environments. Build integrations with legacy APIs, telephony stacks, and financial systems; debug production incidents; create tooling, data pipelines, and deployment automation. Travel 10-25%.

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.

Design and architect AI-powered product features used by healthcare providers. Own major initiatives end-to-end, collaborate with product and design teams, anticipate system bottlenecks, reduce technical debt, and ship reliable, high-quality software. The role requires full-stack development across modern web technologies and cloud infrastructure, strong product judgment, and ownership of complex zero-to-one engineering efforts.

Leads the Enterprise Platform and Integrations engineering team, including people management, API strategy, partner integrations, technical roadmaps, and operational excellence. Establishes scalable API standards, reusable integration patterns, security and observability practices, and reliable delivery processes. Partners with Product, Operations, Security, Sales, and external partners to deliver complex integrations, improve platform reliability, and support AI-agent access to business capabilities.

Build and scale Base360.ai’s short-term rental platform across frontend, backend, integrations, automation, dashboards, and AI-powered workflows. Work directly with customers, founders, and designers to identify problems, ship end-to-end solutions, and improve product outcomes. Develop reliable APIs, event-driven automations, cloud infrastructure, and integrations with Airbnb, Stripe, Twilio, OpenAI, and other platforms. Own features from discovery through deployment while balancing usability, security, scalability, and maintainability.

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 and own end-to-end frontend features for Ketryx's AI platform. Collaborate with designers, product, and customer teams to design accessible React/Next.js interfaces using Tailwind and shadcn, create and document a component library, refactor UIs, mentor teammates, and provide technical customer support. Contribute to backend and database work as needed.