Top Artificial Intelligence Software Engineer Jobs

Build and maintain full-stack software for Freckle, an AI-powered platform that models human behavior. Collaborate autonomously with researchers, engineers, and strategists to connect advanced AI simulations with real-world user validation. The role offers ownership of product development supporting global brands and agency partners.

Lead the company’s technical vision, build and scale its technology platform, define software architecture and product design, manage a technical team, and contribute to strategic decisions and business development. This remote, full-equity role requires entrepreneurial leadership until funding or paying customers are secured.

Develop and maintain full-stack applications using C#, .NET, React, Node.js, TypeScript, and potentially Angular. Adapt across frameworks and platforms, contribute to application and solution architecture, provide technical leadership, and collaborate with stakeholders. The role requires strong hands-on software development experience and the ability to work across the technology stack.

Build services, APIs, and pipelines for an infrastructure design model; ship generative automation for layouts, routings, and configs; integrate CAD/BIM/PLM toolchains; manage model data at scale including versioning, validation, and queryability; work closely with engineering users and vendor APIs.

Develop and support custom SAP ABAP solutions for manufacturing and shop-floor environments. Build RICEFW objects, integrations, and extensions across SAP PP, QM, PM, S/4HANA, execution systems, and third-party machinery. Translate factory-floor requirements into technical designs, support ERP modernization and go-live activities, troubleshoot production issues, optimize batch jobs, and enhance Fiori/UI5 interfaces.

Build and deploy production software directly with customers across frontend, backend, infrastructure, and AI systems. Translate ambiguous needs into technical designs, prototype rapidly, and own solutions from discovery through operation. Identify platform improvements from customer usage, debug complex cross-system issues, and help establish the Forward Deployed Engineering function’s standards and practices. Contribute to product strategy, architecture, and foundational engineering decisions.

Build and maintain GTM systems: automated enrichment and scoring pipelines, integrate data sources, create multi-channel outreach sequences, automate scheduling and follow-ups, contribute to CRM and AI tooling, produce reporting dashboards, and programmatically remove pipeline bottlenecks.

Build full-stack growth products, automations, viral loops, teacher-retention features, and STEM learning modalities. Independently design, launch, measure, and iterate experiments to accelerate teacher adoption. The role also supports curriculum expansion, operational initiatives, and navigating education-system requirements. Candidates should bring strong full-stack development ability, rapid experimentation skills, data analysis, automation experience, urgency, and willingness to work in person in New York City.

Own and evolve a production platform spanning backend services, AWS infrastructure, iOS, and web applications. Scale multi-tenant systems, improve reliability of LLM-powered features, implement security and privacy controls, integrate customer tools, and guide decisions on refactoring or replacing existing systems. The role requires strong backend or infrastructure ownership, production LLM experience, AWS expertise, clear documentation, and collaboration with technical and scientific stakeholders.

Build and maintain scalable full-stack applications using Python, FastAPI, PostgreSQL, MongoDB, React, and TypeScript. Develop secure REST APIs, responsive interfaces, asynchronous services, and GenAI-powered features such as LLMs, AI agents, RAG, knowledge bases, and semantic search. Containerize and deploy applications with Docker and AWS while owning features through development, deployment, and monitoring.