Top Artificial Intelligence Software Engineer Jobs

Develop and maintain end-to-end LiDAR and camera perception software for robotics platforms. Responsibilities include sensor drivers, ROS 2 packages, GPU-accelerated processing, calibration, synchronization, recording and playback tools, Docker environments, packaging, CI/CD, hardware-in-the-loop testing, and production release automation. The engineer will support integration issues and collaborate closely with hardware, silicon, algorithm, manufacturing, and customer teams.

Develop and maintain robotics software, scripts, and real-time systems for prototype robotic hardware. Integrate sensors and external devices, develop autonomy, teleoperation, perception, simulation, and control capabilities, and test complex robotic platforms. Support multidisciplinary R&D programs, technical proposals, customer demonstrations, new business efforts, and research projects involving commercial and government applications.

Build and maintain backend systems for a trading platform, including brokerage integrations, API clients, authentication, webhooks, data synchronization, and resilient distributed workflows. The role involves handling retries, rate limits, duplicate events, partial failures, monitoring, reconciliation, and reliability improvements while collaborating with product and engineering teams.

Build and ship end-to-end product features across consumer and B2B applications. Responsibilities include translating designs into polished UIs, developing backend services and APIs, integrating machine learning capabilities and third-party services, owning instrumentation and observability, reviewing code, and collaborating with Product, Research, Design, and GTM teams.

Lead the architecture, development, deployment, and reliability of scalable APIs for Afresh’s flagship AI ordering product. Partner with product, account management, and engineering teams to deliver integrated solutions, support the existing iPad application, and shape future product direction. Drive projects from conception through launch, enforce testing and release best practices, mentor junior engineers, participate in Agile ceremonies, and provide constructive code reviews.

Build and own enterprise platform components end to end, integrating with customer infrastructure and self-managed Kubernetes environments. Develop observability, improve reliability and availability, debug distributed systems, address security vulnerabilities, and deliver production software for enterprise users. Collaborate with product and technical leads, mentor engineers, and maintain hands-on ownership across design, implementation, deployment, and production operations.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.

Own end-to-end deployment of AI-powered workflows for a strategic private-capital customer. Build and operate production systems for deal intake, scoring, account mapping, portfolio reporting, and pipeline management; integrate Salesforce, DealCloud, SharePoint, and other data sources; debug live systems; advise customer executives; and translate field insights into product direction and repeatable deployment frameworks.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Build end-to-end software for Argos, an operating system for materials manufacturing; Argos Sim for CAD automation, design-for-manufacturing, mold generation, and simulation; and factory automation systems integrating equipment and sensor data into digital twins. Work autonomously with hardware engineers to ship high-quality products quickly across software and physical manufacturing environments.