Top Artificial Intelligence Software Engineer Jobs

Develop and maintain C#/.NET Core applications using Visual Studio, SQL, and MVC/MVVM patterns. Work independently to design and implement features for public safety, military, and first-responder systems (including HoloLens and drone-related projects). Collaborate with the team, learn new technologies, and contribute ideas to product development.

Seeking a full stack engineer to develop applications, requiring skills in Node.js, SQL, and modern JavaScript frameworks with a focus on scalability and performance.

Build and ship user-facing features across the stack, collaborate from concept to production, contribute to system design, iterate from user feedback and data, and own product-quality and performance improvements.

Design, build, and scale low-latency distributed platform components; define technical vision and architecture; collaborate with product and ML teams; evaluate build-vs-buy decisions; prototype research breakthroughs and deliver robust, production-grade services.

Own customer onboarding and implementations, integrate Stuut with ERPs (NetSuite, SAP, Salesforce), write production-quality code and automations, collaborate with Sales and Product, build documentation and internal tools, and travel to client sites to deploy solutions and gather product feedback.

Act as the technical liaison to healthcare clients to deploy and operate Synapsis AI. Lead data mapping, SQL logic, ETL pipelines, integrations, and event-driven workflows. Coordinate release schedules, support cybersecurity reviews, monitor system health, automate operational tasks, capture client requirements, and translate them into engineering deliverables while partnering with clinical and product teams.

Lead architecture and delivery of scalable, high-performance backend systems; design and ship AI-native, agentic workflows; mentor engineers; collaborate with product and stakeholders; own complex multi-area project lifecycles; ensure reliability, security, and performance; document architectural decisions.

Design and build backend services, APIs, SDKs, and user-facing systems enabling secure agent-to-agent financial interactions. Implement cryptographic identity, payment workflows, transaction processing, reputation tools, and scalable infrastructure for AI-native financial products.

As a Founding Engineer you will build and ship core product features, design system architecture, write production-quality code, and shape technical direction. You will work cross-functionally to iterate quickly and establish engineering best practices.

Design and build responsive, high-performance front-end interfaces for AI-driven finance workflows. Translate complex data into clear visualizations, balance automation with human control, collaborate with backend and AI teams, and own frontend architecture and design system standards.