Top Artificial Intelligence Software Engineer Jobs

Build backend systems, APIs, data pipelines, integrations, and workflow automations for enterprise customers. Translate complex procurement, finance, ERP, and operational workflows into scalable technical solutions; debug distributed integration issues; support customer discovery and deployments; and partner with Product and Engineering to develop reusable platform capabilities. The role requires strong backend engineering, customer communication, systems architecture, and judgment in ambiguous environments.

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.

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.

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.

Own and build the customer-facing frontend: verification flows, investigative features, and reporting surfaces. Push frontend performance in React, optimize rendering, work with RSC/Suspense, use AI coding tools, and ship product-quality UX details with high ownership.

Designs, develops, tests, and maintains secure, scalable software applications and services. Translates business requirements into technical solutions, builds APIs and integrations, troubleshoots defects, contributes to architecture, supports automated testing and CI/CD, participates in deployment activities, documents technical work, assesses risks, and mentors colleagues. Collaborates with product, design, QA, and engineering stakeholders in a hybrid DMV-area environment.

Learns software engineering through mentorship and practical product or subsystem development. Responsibilities include writing production code and test applications, participating in design and code reviews, applying engineering processes, troubleshooting issues, and supporting project planning and execution.