Top Artificial Intelligence Software Engineer Jobs

Design, prototype, and ship large-scale geospatial search and analysis systems. Optimize computational geometry and performance across nationwide datasets using columnar systems and spatial indexing, from prototype to production, collaborating with domain experts.

Design, build, and ship production-grade SaaS features across a Python (FastAPI), React, and Postgres stack. Own technical delivery, contribute architecture and code reviews, improve testing/observability/deployment, collaborate with Product, Design, and Data Science, reduce technical debt, and help hire and mentor engineers.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Build and evolve scalable software for digital pathology and medical imaging. Responsibilities include developing TypeScript and Vue applications, backend services, APIs, microservices, cloud-native infrastructure, automated tests, and CI/CD pipelines. The role contributes to architecture, observability, performance, developer productivity, and AI-assisted engineering workflows. Collaboration occurs across Agile/Scrum teams, with opportunities to improve engineering standards and deliver reliable healthcare software.

Build and maintain the software engineering backbone of Genesis-World, an open-source multi-physics robotics simulation platform. Responsibilities include scalable testing for JIT-compiled systems, deterministic simulation replay, autodiff integration, scene editing, plugin architecture, actuation, local time stepping, event systems, serialization, telemetry, performance improvements, and legacy refactoring. The role also involves code reviews, issue triage, contributor support, and collaboration with compiler and physics teams across GPU and operating-system platforms.

Develop high-performance L4 autonomous driving planning algorithms and systems. Responsibilities include optimizing end-to-end model outputs with safety fallbacks, designing redundant low-compute systems, processing road-test data, and improving simulation platforms using real-world driving data. The role requires software engineering, algorithm design, problem modeling, and collaboration skills, with preferred experience in motion planning or robotics.

Lead delivery across product, engineering, and QA for a distributed parking technology platform. Remain hands-on while improving system reliability, API architecture, integrations, CI/CD, testing, observability, and event-driven infrastructure. Partner with the AI team, sequence the roadmap, manage tradeoffs, and hire and develop engineers. Own production quality, incident response, scalability, and the evolution of partner-facing APIs serving booking channels and access-control systems.

Build the user-facing software platform for a programmable Virtual Cell, including scalable backend services, APIs, distributed systems, biological simulations, experiment workflows, and multimodal data processing. Integrate AI and machine learning inference into reliable scientific products, improve platform performance and reliability, and collaborate with engineering, research, and scientific product teams.

Design, build, and maintain systems-level Rust software for an AI-powered autonomous drone platform. Integrate AI/ML pipelines, develop networking and protocol components, support autonomy features, and create reliable software for resource-constrained, low-latency environments. Develop and test through simulation while collaborating with ML engineers and contributing across application and systems layers.

Build frontier AI agents for data science across the full product lifecycle, from identifying product opportunities through implementation and deployment. Projects include AI-searchable indices for data warehouses, notebook interfaces based on Jupyter, and scalable backend infrastructure for on-premise agentic deployments.