Top Artificial Intelligence Software Engineer Jobs

Deploys and maintains edge AI systems in factories and warehouses. Works directly with customers to understand operations, define solutions, prototype and validate workflows on site, troubleshoot deployments, and improve reliability. Collaborates with backend, frontend, and research teams to turn field learnings into reusable modules, playbooks, and product improvements. The role is based in New York City with three office days weekly and up to 30% client-site travel.

Develop reusable Python-based software infrastructure for post-silicon validation and characterization of Arm SoCs. Build automation, frameworks, APIs, and CI or regression infrastructure for workloads, hardware controls, instrumentation, test execution, and data collection. Collaborate with firmware, validation, systems, and infrastructure teams to debug complex hardware-software interactions and create reliable, scalable engineering workflows.

Software Engineering interns contribute to production features, applications, APIs, services, data ingestion pipelines, and machine-learning-enabled products. They participate in code reviews, deployment, observability, infrastructure as code, and production-readiness practices while collaborating with experienced engineers. Interns work in person from the Cambridge headquarters or New York City office and receive opportunities for technical learning, exploration, and cross-team development.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build and ship features across iOS and Android apps, including backend changes, releases, automation, testing, and architecture improvements. Own cross-platform delivery using Kotlin Multiplatform, collaborate with product and design, and improve release tooling and quality gates. Use AI coding agents responsibly while establishing safeguards and workflows. The role requires strong Kotlin and Android expertise, production experience beyond the primary platform, architectural leadership, API and entitlement familiarity, automation skills, communication, and pragmatic decision-making.

Deploy and customize the company’s AI-native IT service platform within enterprise environments. Build production integrations, data pipelines, agent workflows, and internal tooling; connect ticketing, identity, device management, and knowledge-base systems; own live customer deployments; and relay customer insights into product improvements. The role involves close customer collaboration, occasional on-site deployment work, and hands-on software development using Python and TypeScript.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.

Build and own backend and full-stack systems for partner integrations and patient access. Design scalable platform capabilities for multi-state healthcare programs, convert partner requirements into reusable systems, collaborate with product, data, operations, and clinical teams, and lead projects from architecture through rollout. The role also includes shaping technical direction and mentoring engineers.

Design and build scalable services, APIs, platform capabilities, and product features. Own architecture and technical decisions, improve reliability and engineering practices through testing and operations, collaborate cross-functionally, mentor engineers, and help guide team direction.

Own Perk’s global go-to-market engineering strategy, architecture, tooling, and roadmap. Build production-grade Clay automations, Salesforce integrations, orchestration systems, and AI-agent workflows using code and modern data infrastructure. Automate prospecting, seller workflows, account intelligence, and revenue operations while measuring commercial impact. Lead and develop a senior international team, partner with sales and revenue leaders, and establish engineering standards for scalable, monitored, tested, and recoverable systems.