Top Artificial Intelligence Software Engineer Jobs

Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Build and operate reliable backend systems and APIs for high-traffic products. Responsibilities include distributed system design, data modeling, service architecture, performance tuning, automated testing, observability, incident management, and end-to-end feature delivery. The role partners with Product and Design, makes architecture decisions, mentors engineers, and applies AI-assisted development tools responsibly.

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

Own Black Forest Labs’ end-to-end developer experience across APIs, SDKs, dashboards, MCP servers, documentation surfaces, and onboarding. Partner with platform, product engineering, research, DevRel, and growth teams to reduce developer and agent friction. Design API contracts, error formats, asynchronous workflows, SDK primitives, and machine-readable interfaces while shipping full-stack product features for external developers and agentic applications.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Develop end-to-end Python software for U.S. Government space and national security programs. Automate NEI and Space Domain Awareness data pipelines, build APIs and prototypes, productionize orbital mechanics and image-processing capabilities, deploy cloud applications, and enhance platform features and visualizations. Collaborate with international engineering teams, customers, and external partners to translate aerospace capabilities into mission-ready software solutions.

Provide organization-wide technical leadership for Carlsmed’s personalized spine surgery software platform. Define platform architecture, technical vision, standards, governance, and technology strategy. Guide Node.js microservices, GraphQL federation, React applications, PostgreSQL solutions, APIs, distributed systems, and proof-of-concept initiatives. Mitigate technical risks, lead major architectural decisions, collaborate with senior leadership, and mentor senior engineers and technical leads.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Build and own full-stack product features for an AI-powered biopharma documentation platform. Develop React and TypeScript interfaces, backend services, APIs, data models, and production deployments. Design scalable systems for complex enterprise workflows, create AI-native scientific and regulatory content experiences, collaborate cross-functionally, and make pragmatic architectural decisions in a fast-paced startup environment.

Build customer-facing backend features using Django, optimize application performance, reduce technical debt, and collaborate closely with teammates. The role requires Python web development, computer science and algorithm fundamentals, strong research and debugging abilities, sound technical judgment, and ownership of work from development through delivery. This is an in-person position in Kitchener-Waterloo, New York, or San Francisco, with authorization to work in the US or Canada and ability to travel between both countries.