Top Artificial Intelligence Software Engineer Jobs

Leads the architecture and technical direction of large-scale telemetry, crash analytics, reliability modeling, and data platforms. Designs secure, scalable, resilient solutions spanning client, cloud, and enterprise domains; supports millions of endpoints; establishes engineering standards and predictive quality metrics; mentors teams; and partners with product, validation, quality, OEM, Microsoft, and customer-enabling organizations.

Develop foundational XR support for the Unity Engine by integrating third-party SDKs and next-generation hardware platforms. Collaborate with internal teams and external partners to deliver consistent AR/VR development experiences. Implement engine technologies, investigate issues, participate in code reviews and planning, and write automated tests. Coordinate with embedded QA to establish testing methodologies and maintain software quality.

Lead the architecture and redesign of Axon’s multi-cloud networking stack across AWS, Azure, and devices. Define connectivity, reliability, security, performance, compliance, and cost strategies; guide production rollout and cross-team initiatives; identify risks; advise engineering leadership; mentor senior engineers; and establish engineering standards. The role also includes setting group-level AI strategy and using AI tools to accelerate software development.

Design, build, and lead development of scalable, secure, high-performance cloud ingestion systems handling large throughput uploads. Provide technical leadership, system design, architecture reviews, mentorship, cross-team collaboration, roadmap management, and process improvements across multi-cloud infrastructure.

Build and operate full-stack production features across a TypeScript monorepo, including database schemas, migrations, APIs, React interfaces, and platform infrastructure. Develop reliable AI-powered clinical tools with evaluations, monitoring, structured outputs, human review, and safe fallbacks. Improve observability, performance, data workflows, and system maintainability while collaborating closely with clinicians and company founders in a regulated healthcare environment.

Build and operate full-stack features across Tono’s TypeScript monorepo, including database schemas, migrations, APIs, React interfaces, AI clinical tools, billing, telemetry, and durable platform infrastructure. Design reliable agent systems with evaluation, monitoring, human review, and safe fallbacks. Work closely with physicians and founders in a regulated healthcare environment while improving performance, maintainability, observability, and patient-facing workflows.

Build and own scalable full-stack features and services from design through deployment, monitoring, and production support. Develop Java and Spring Boot backend services, modern frontend applications, APIs, and database solutions. Integrate generative AI capabilities including agents, RAG pipelines, tool calling, prompt workflows, and MCP. Troubleshoot across the technology stack while applying cloud, containerization, security, distributed-systems, and CI/CD practices. Collaborate with product, design, infrastructure, and other cross-functional partners.

Leads and grows a mobile design engineering team responsible for scalable frameworks, design systems, and high-quality mobile experiences across iOS, Android, and responsive web. Partners with design, product, and engineering leadership to set technical strategy, oversee complex UI architecture, guide code reviews, improve accessibility and performance, and establish mobile-first development practices. Balances people management with hands-on technical leadership and architectural guidance.

Own the architecture and technical direction of Netic’s go-to-market systems, integrating Salesforce, billing, finance, product data, and the warehouse. Build automated sales operations workflows, internal tools, and AI agents; ensure GTM data reliability, observability, testing, and deployment standards. Partner with Sales Ops, Deal Desk, and data teams, while helping hire and mentor future engineers.

Design, build, and maintain scalable full-stack web applications for CMT’s telematics and geospatial products. Translate business requirements into reliable, testable technical solutions; develop frontend and backend systems; participate in design and code reviews; support production systems; and collaborate with product, design, and data teams. The role also mentors junior developers, contributes to hiring, provides on-call support, and helps develop map-based applications that improve road safety.

Develop and optimize compiler infrastructure for SambaNova’s RDU AI accelerator. Responsibilities include implementing IR passes, lowering and partitioning machine learning models, tensor tiling, on-chip memory management, fabric mapping, and low-level debugging in C++ and Python. The role collaborates with runtime and hardware teams and includes mentorship while building production compiler software.

Develop runtime software across kernel drivers, user-space libraries, networking, and system tools for SambaNova AI hardware. Build and test features on large multi-node systems, diagnose performance bottlenecks, and collaborate with hardware and compiler teams. The role requires C, C++, Rust, Python, Linux systems programming, high-speed networking, distributed communication libraries, and debugging experience.

Lead frontend architecture and delivery for Retell AI’s voice platform. Build responsive React and TypeScript interfaces for agent configuration, dashboards, analytics, and monitoring. Partner with product, design, and backend engineering; improve performance, accessibility, reliability, and reusable component patterns. Provide technical leadership through code reviews, testing, mentoring, API design, and ownership of complex projects from concept through launch.

Build and deploy AI voice agents for enterprise customers, design integrations and conversation flows, debug APIs, webhooks, SIP, telephony, authentication, and production issues, and work directly in customer codebases. Partner with Product and Engineering to translate customer feedback into improvements, support technical onboarding, and help customers expand AI use cases. The role requires strong backend software engineering, troubleshooting, communication, and Mandarin-English fluency.