Top Artificial Intelligence Software Engineer Jobs

Build and maintain GTM infrastructure and automations (lead enrichment, routing, CRM workflows, dashboards). Ship growth experiments, enable sales tooling, run upsell motions, and translate CEO growth strategy into technical systems at founder speed.

Build and operate full-stack product features across frontend interfaces, backend APIs, data pipelines, analytical SQL, authentication, and multi-cloud infrastructure. Maintain BigQuery measurement logic, caching layers, Firebase/Auth0 authorization, and GCP/AWS integrations. Ensure testing, observability, and production reliability while contributing to architecture and technical roadmaps. Develop or integrate LLM-powered workflows and AI agents, investigate unfamiliar production codebases, and mentor junior engineers.

Own Corvus’s backend architecture and data layer, including a canonical data model and knowledge graph for manufacturer, facility, product, and people data. Build resilient systems with queues, retries, idempotency, and observability while enabling agent-powered research workflows. Work directly with founders and customers to design, ship, scale, and monitor production systems. The role requires strong relational database expertise, entity resolution experience, pragmatic technical decision-making, and in-person work in NYC five days per week.

Build end-to-end features across frontend and backend using React/TypeScript and Node.js (some legacy Go). Collaborate with design, ship via continuous deployment, debug and monitor production, use AI coding tools, and make product and technical decisions while owning delivered features.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Design, build, and maintain scalable microservices in Go using gRPC and Protocol Buffers; deploy on GCP (Compute Engine, Cloud Run, Cloud Storage); implement API security (OAuth2) and credential management; containerize with Docker/Kubernetes; collaborate with MLOps and frontend teams; mentor junior developers; troubleshoot production issues and document API contracts.

Build and launch scalable frontend applications using React and TypeScript. Responsibilities include defining technical designs, collaborating with cross-functional teams, writing maintainable code, creating reusable libraries, optimizing performance, and independently delivering projects from concept through launch.

Join as a full-stack software engineer to design, develop, and maintain web applications and services. Collaborate cross-functionally, write clean code, perform code reviews, debug issues, and stay current with industry trends.

Lead backend-focused fullstack development, collaborate with Data/ML teams to design and deploy scalable, performant systems; own architecture, select tech stacks, and balance tradeoffs for rapid iteration and production deployment.

Leads engineering execution for an enterprise AI platform, owning architecture, backend and data workflows, reliability, AI engineering practices, hiring, and delivery processes. The role combines hands-on coding and technical leadership, including building distributed systems, establishing observability and release practices, recruiting engineers, and translating enterprise deployment feedback into reusable product capabilities.