Top Artificial Intelligence Software Engineer Jobs

Owns user-facing product surfaces end-to-end, including dashboards for triaging AI-discovered vulnerabilities and integrations with GitHub, CI/CD, and messaging tools. The role involves designing, building, launching, and iterating on full-stack web features while maintaining high standards for UX, performance, polish, and reliability. Security experience is beneficial but not required.

Develop and test non-Microsoft low-code, no-code, and configurable workflow prototypes for NATO capability-development processes. Work directly with operational users to discover requirements, redesign fragmented workflows, configure applications, integrate data sources, write lightweight scripts, conduct pilots, measure outcomes, and iterate solutions. Document requirements, logic, testing, risks, and technical constraints; prepare successful prototypes for transition to enterprise development, DevSecOps, or sustainment teams. Present findings and recommendations to CAPDEV leaders and stakeholders.

Build and maintain full-stack software for startup clients, including backend services, frontend experiences, new features, redesigns, bug fixes, and product improvements. Collaborate daily with product managers, designers, and engineers in a distributed, agile environment. Take ownership across the technology stack, write clean maintainable code, contribute to client missions, and support team growth and knowledge sharing.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Provides hands-on technical leadership across architecture, infrastructure, backend services, APIs, ML systems, and product development. Partners with the CTO on technical direction, leads design and code reviews, mentors engineers, improves reliability and scalability, and works with customers to translate requirements into solutions. The role requires substantial production software engineering experience, cloud infrastructure expertise, and the ability to guide a growing engineering team without direct management responsibility.

Build Mesh’s financial governance platform from the ground up, partnering with founders and customers to architect and ship backend infrastructure, AI agentic workflows, enterprise integrations, data pipelines, spreadsheet interpretation, evaluation systems, and auditability tooling. The role owns problems end-to-end, from customer discovery and product design through production deployment and iteration, while operating across AI systems, developer tooling, and enterprise software.

Own customer deployments from data access through trusted, outcome-driven systems. Responsibilities include exploring undocumented data warehouses, defining business ontologies, building agent-powered signals and workflows, validating outputs, diagnosing failures, measuring customer outcomes, and turning deployment learnings into reusable tooling. The role requires strong customer collaboration, technical judgment, SQL and dbt fluency, applied data science literacy, and comfort with ambiguity. This is a fully in-office position in New York City.

Own end-to-end product development across backend and frontend, translating ambiguous product goals into technical plans and customer-facing features. Build APIs, workflows, data models, AI features, infrastructure, and product logic using modern full-stack technologies. Partner with product, design, customers, and the founding team while making technical and product tradeoffs. Work in person five days per week and occasionally travel to factories or team offsites.

Design and own foundational systems for enterprise AI agents, including distributed agent pipelines, automation editors, graph traversal and indexing systems, and frameworks for autonomous workflow execution. The role focuses on scalable, deterministic, auditable, multi-tenant-safe architecture across complex enterprise data environments. Founding Engineers will work as high-slope generalists, owning architecture, product development, production-quality code, and customer impact in an ambiguous, fast-moving environment.

Build and maintain React interfaces and own the Go or Node.js backend services supporting partner-facing applications. Design REST APIs, authentication, webhooks, and database systems while ensuring performance, accessibility, testing, and polished user experiences. Collaborate directly with product and partner engineering leads to deliver features end to end, and help establish engineering practices as the team scales.