Top Artificial Intelligence Software Engineer Jobs

Build code, integrations, documentation, benchmarks, and reference implementations for a macOS and Apple Silicon compute platform. Operate workloads, debug issues across application and infrastructure layers, support developers, improve tooling and products, and represent developer needs internally. The role also involves technical writing, workshops, open-source engagement, performance analysis, and collaboration across platform, networking, fleet, product, and engineering teams.

Build and deploy customer-specific solutions for enterprise marketing workflows. Responsibilities include conducting discovery, identifying customer problems, writing code, configuring and shipping proofs of concept, building integrations, translating field insights into product requirements, and influencing roadmap priorities. The role partners closely with customers, founders, product, engineering, design, and sales, requiring strong judgment, technical execution, stakeholder communication, and comfort operating in an early-stage startup.

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.

Leads multiple product engineering squads, owning delivery, architecture, technical priorities, production quality, security, scalability, staffing, hiring, retention, performance management, and team health. Partners with Product and cross-functional stakeholders to align engineering work with business goals, resolve delivery blockers, improve processes and tooling, and manage major technical decisions. Requires hands-on experience with demanding architectures and the ability to work across React, Python, AWS, and MongoDB technology stacks.

Develop software for Sovereign, an autonomy platform for unmanned vehicles that detects, classifies, tracks, and guides toward targets. Build primarily in C++ with Python and Linux, integrate perception and autonomy technologies, and support field deployments, customer integrations, and testing. The role involves export-controlled defense technology and requires travel and U.S. person eligibility.

Develop and maintain scalable full-stack applications using Node.js, TypeScript, C#, .NET, and modern frontend frameworks. Build RESTful APIs, microservices, databases, and cross-platform applications; contribute to architecture and system design; lead code reviews; mentor junior engineers; and collaborate with product and UI/UX teams. Travel may be required up to 20%.

Build and ship end-to-end full-stack software features for F2’s AI-driven financial platform. Develop critical platform components, integrate LLMs, retrieval, or agents, improve scalability and reliability, establish engineering standards, and mentor engineers. Collaborate with product, security, and go-to-market teams to deliver production-ready capabilities for private markets and commercial banking customers.

Own customer deployments from proof of concept through production launch. Embed with customer teams, understand workflows, design architecture, build integrations, configure AI workflows, run evaluations and UAT, manage launch risks, and coordinate controlled rollouts. Translate repeated customer needs into reusable code, templates, documentation, and product improvements while communicating with operators, engineers, executives, and internal stakeholders.

Develop and test clinical medical-device prototypes, build lab automation, and create internal and external tools and user interfaces. Collaborate with mechanical, electrical, research, and clinical teams on projects involving image processing, deep learning, ultrasound, electronics, and real-time signal processing. Process experimental results, support device testing, and contribute across preclinical studies and device development, with potential progression into leadership.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.