Top Artificial Intelligence Software Engineer Jobs

Leads analysis, architecture, development, testing, deployment, production support, modernization, cloud adoption, automation, and security for enterprise web applications and databases. Develops APIs and integrations, manages CI/CD and release processes, maintains availability and data recovery, supports stakeholders, and provides documentation and training. Ensures accessibility, privacy, federal compliance, AI governance, and customer experience improvements.

Responsible for software engineering work; the description provides no further details about specific duties, technologies, qualifications, or work environment.

Founding Full Stack Developer responsible for end-to-end SaaS feature delivery across Next.js and React frontends, FastAPI services, real-time WebSocket collaboration, AI workflow integration, data modeling, authentication, performance, testing, and cloud deployment. The role requires scaling production systems, integrating Firestore and Neo4j, and collaborating across engineering and product teams. Candidates will also complete a proof of concept involving course generation, a mini-app sandbox, background workflows, and deployed frontend/backend services.

Build and scale Euler’s AI-native PRM platform across the front end and back end. Develop React and Next.js applications, Python and Node.js services, CRM and partner-tool integrations, AWS and Cloudflare microservices, REST APIs, and deployment workflows. Collaborate with engineering and AI teams, apply secure coding practices, maintain CI/CD pipelines, and ship scalable features while working US East Coast hours.

Build polished frontend experiences for an AI investing platform, including an agent IDE, performance dashboards, onboarding flows, reusable component libraries, and design systems. Optimize performance through code splitting, caching, and rendering improvements. Collaborate with product and engineering teams to create intuitive, accessible, responsive interfaces using React, Next.js, and TypeScript.

Design, implement, and optimize low-level systems software, networking components, protocols, and performance-critical applications. Develop client-server and socket-based systems using C++ and Python, apply algorithms and memory management techniques, and build comprehensive tests. Debug memory leaks, packet flow, and concurrent execution using GDB and Wireshark. Collaborate with cross-functional teams on modular codebases, technical documentation, code reviews, and release-cycle version control.

Build and iterate AI-powered creative products, including OpenArt Agent and Arena. Develop polished React and Next.js experiences, integrate and evaluate generative image and video models, rapidly prototype new concepts, and ship reliable production software. Partner with product, design, and go-to-market teams while using product data and user feedback to guide decisions and balance speed, correctness, and scalability.

Develop and optimize high-performance C++ and Python software for robotics data collection systems. Build device-side recording systems for video, audio, IMU, and status data; develop middleware using IPC, shared memory, message queues, and zero-copy transfer; integrate hardware and software; and troubleshoot performance, stability, and system reliability issues across robotics, sensor, algorithm, testing, and data platform teams.

Own the visual quality and user experience of Conversion’s marketing automation platform. Translate complex functionality into intuitive interfaces, prototype interactions, and ship polished React experiences. Collaborate directly with customers to understand pain points, scope solutions, and build features end to end. The role emphasizes exceptional design taste, attention to detail, responsive production-ready code, and independent product ownership.

Build and improve backend product capabilities for data cataloging, agent benchmarking, and workflow automation. Own features from user problem definition through design, implementation, launch, and production support. Develop APIs, services, data models, and workflow systems; investigate performance and production issues; contribute to architecture and code quality; and collaborate with Product, Design, and Engineering. The role is hybrid, requiring at least three days weekly in San Francisco or New York City.