Top Artificial Intelligence Software Engineer Jobs

Design, build, and scale Browserbase's dashboard and web experience. Implement complex UIs and data visualizations, collaborate cross-functionally, define roadmap priorities, enforce frontend performance and accessibility best practices, and document and share knowledge.

Software Engineering Intern supporting website feature development, internal workflow automation, applied AI and LLM initiatives, model evaluation, debugging, QA, deployment, backend integrations, and productivity tools. The intern will collaborate cross-functionally with engineering, product, operations, and leadership while contributing to startup projects during a 10–12 week Summer 2026 internship.

Maintain and extend a Laravel backend supporting EHR integrations, coding rules, onboarding workflows, healthcare data labeling pipelines, and machine learning data services. Build integrations with eClinicalWorks, Epic, and athenahealth using HL7v2, FHIR, and Cloud Fax. Implement reliable, auditable services that protect PHI and meet HIPAA, SOC 2, and HITRUST standards.

Build Syntro’s AI-powered hardware procurement platform across the frontend and backend. Work directly with procurement customers to identify problems, prototype solutions, define product workflows, and deliver production features. Own customer problems from discovery through adoption, connect procurement data across suppliers and purchasing workflows, and design intelligent human-agent interactions. The role requires strong TypeScript and React skills, product and design judgment, customer empathy, and the ability to build zero-to-one products independently.

Architect and build the company’s core data and AI infrastructure, including data pipelines, agentic workflows, backend systems, API integrations, frontend widgets, and developer tools. Own product verticals end to end, rapidly ship production-ready features, collaborate with founders on product direction, and help establish engineering culture, hiring, and development practices.

Architect and build high-performance frontend systems for real-time geospatial interfaces controlling autonomous systems. Responsibilities include telemetry ingestion, state management, rendering, connectivity resilience, browser performance optimization, geospatial visualization, scalability, technical architecture, design reviews, and mentoring. The role remains hands-on while influencing frontend strategy and solving complex performance and systems-design challenges.

Develop, maintain, test, and enhance complex software systems supporting mission-critical DoD and Intelligence Community programs. Responsibilities include algorithm development, large-scale data processing, database and repository interfaces, system performance optimization, requirements analysis, software design, and troubleshooting. Engineers may work across full-stack, real-time, analytics, cloud, and open-source technologies while supporting multiple experience levels and technology stacks.

Leads a GUI software engineering team developing high-performance interfaces for EDA tools. Responsibilities include managing and mentoring engineers, coordinating globally distributed teams, driving GUI architecture and product delivery, and collaborating with product management, applications engineering, hardware, software, and EDA backend teams.

Build and own full-stack product features for a collaborative browser-based canvas editor used on large construction drawings. Responsibilities include improving rendering performance, interaction latency, memory usage, client-side state, collaborative document architecture, testing, APIs, database models, and production reliability. The role requires deep React and TypeScript expertise, browser performance experience, backend fundamentals, and ownership of complex production systems. This is an onsite role in New York City.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.