Top Artificial Intelligence Software Engineer Jobs

Build and lead the Circadia Intelligence Platform: responsive React front-ends, Python/FastAPI backends and APIs, customer-specific integrations with EHR systems, and technical architecture and mentorship to scale monitoring across hundreds of thousands of patients.

Design, build, and maintain secure, scalable data pipelines and ML data workflows to support IRS fraud detection and compliance analytics. Collaborate with data scientists and stakeholders, troubleshoot production issues, produce documentation and briefings, and operate in restricted government environments.

Build and own scalable, reliable backend services and platform architecture. Work across analytics, data, search, infrastructure, monitoring, cost management, security, and scaling. Ship production code, design systems with high code quality, and collaborate cross-functionally to deliver user-focused solutions.

Build and maintain backend systems in TypeScript, improve observability and metrics, automate deployments and Slack reporting, test and troubleshoot production systems, and clean up the existing codebase.

Build reusable client-side JavaScript/CSS SDKs and multi-tenant frontend architecture. Develop high-performance React/Next.js applications with Tailwind CSS, implement SSR/SSG/ISR, integrate with REST/GraphQL backends, optimize performance, and support backend data modeling, cloud deployment (AWS/GCP), CI/CD, and production monitoring.

Build full-stack, AI-powered features for a healthcare conversational platform. Develop React/Next.js frontends, Python/FastAPI backends, cloud-deployed services, LLM-driven workflows, integrations with third-party healthcare systems, and maintain reliability, testing, and observability while owning projects end-to-end.

Work directly with CTO, CEO, Product, and Design to build and ship front-end features. Translate designs from prototyping tools into accessible, performant React-based UIs, integrate with APIs, and support internal and client builds.

Drive user growth through rapid experiments and system optimizations. Scale products and media, analyze content performance (e.g., TikTok), build playful prototypes, publish content, and improve retention and engagement for a consumer AI personal-agent product.

Work across the full stack to design and deploy features using Next.js and AWS (ECS/ECR/Lambda). Build and maintain web scraping pipelines and high-volume data systems (Postgres, ClickHouse, MongoDB). Own production reliability, debug at scale, and contribute to the technical roadmap.

Build and operate core backend APIs, integrations, and runtime infrastructure powering data, identity resolution, permissions, and workflow execution. Ensure reliability via observability, monitoring, failure handling, performance tuning, and operational tooling. Enable safe product and agent development and turn production feedback into platform improvements.