Top Artificial Intelligence Software Engineer Jobs

Lead frontend architecture and delivery for interfaces that help operators explore spectrum data, direct sensors, and collaborate with AI agents. Build high-performance visualizations, real-time streaming experiences, agentic workflows, component libraries, design systems, and testing practices. Partner with product, design, and backend teams to translate ambiguous requirements into polished, accessible, production-ready interfaces.

Lead large-scale client projects focusing on Azure solutions, mentoring teams, and ensuring successful delivery through technical leadership and design solutions.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Lead end-to-end customer implementations across ERP integration, onboarding, training, and rollout. Split time between production engineering and customer engagement, translating operational pain points into product features, data models, and reusable playbooks. Collaborate with IT teams, engineers, operators, and executives across international locations. Diagnose customer issues, prototype and ship solutions, and manage high-pressure deployments. The role requires onsite work in Munich or San Francisco and 10–30% travel.

Build and deploy full-stack software for military logistics customers. Own features from concept through deployment, integrate with existing systems, improve reliability and performance, collaborate across engineering and product teams, and work directly with end users. The role involves customer-facing engineering, operational problem solving, cloud and edge deployments, and approximately 25% travel for deployments, field testing, and support.

Drive organization-wide Lean and autoformalization strategy for AI-assisted mathematical research. Build proof harnesses, code review workflows, shared Lean libraries, reusable abstractions, and reliable automation infrastructure. Guide researchers and engineers on Lean architecture, conventions, tooling, tactics, and library design while improving project maintainability and performance. The role focuses on making large-scale agent-generated Lean reliable rather than writing proofs manually.

Build full-stack data and workflow applications used by government operators to acquire technology. Develop AI agents and effectively use LLMs, create intuitive React interfaces, support a commercial defense platform, present solutions to military operators and Fortune 500 executives, and travel to customer sites including military bases. The role addresses mission-critical national security and government contracting challenges.

Own products end to end, from customer discovery and problem definition through design, implementation, launch, and iteration. Build polished frontend experiences, APIs, backend services, data models, infrastructure, and developer tools for AgentMail Studio. Improve onboarding, SDKs, documentation, debugging, and console experiences while engaging directly with customers and shaping product engineering culture.

Manage and mentor software and systems engineers while remaining hands-on with Python, TypeScript, and SQL development. Lead architecture, cloud infrastructure, data pipelines, CI/CD, testing, security, HIPAA compliance, and system reliability. Partner with clinicians, product managers, and security teams to deliver healthcare technology solutions. Oversee technical initiatives, budgets, hiring, team culture, incident response, and engineering processes for a fully remote team.

Develop and validate navigation software for autonomous vehicles, including sensor-fusion estimators, Kalman filters, GNSS processing, calibration, integrity monitoring, and GNSS-denied localization. Run deterministic log replays, regression tests, fault injection, and field testing; diagnose real vehicle data and implement safety-relevant health and warning interfaces. Collaborate with autonomy, safety, perception, and vehicle integration teams on design, testing, and code reviews.