Top AI Engineer Jobs

As a Sr. AI Engineer, you will design and ship applied AI systems, make technical decisions, evaluate model behavior, and ensure MLOps ownership while contributing across the full stack and partnering with product teams.

The AI Kernel Engineer role involves developing AI kernels and operators, optimizing performance for different hardware configurations, and analyzing kernel performance to enhance efficiency on the Quadric platform.

The Software Engineer will optimize AI inference processes for robotic systems, ensuring high performance under varying constraints and building infrastructure for model integration.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Design and develop scalable backend infrastructure for Fireworks AI's generative AI platform, focusing on reliability, performance, and model quality optimization.

The AI Solutions Engineer will lead automation initiatives, develop workflows, and integrate AI processes in collaboration with teams across the firm. Responsibilities include building prototypes, managing legal workflows, and ensuring content accuracy.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

As an AI Engineer, you will design and develop end-to-end AI systems, improving API documentation and developer experiences through advanced AI solutions. Responsibilities include building retrieval systems, evaluating performance, and ensuring production reliability across user-facing products.

The Sr Engineer, AI/Machine Learning will design and develop AI and ML models for health monitoring devices, analyzing data and collaborating across teams to enhance product capabilities.

The Sr Engineer will develop AI/ML models for health monitoring devices, focusing on algorithm development, data analysis, and cross-functional collaboration.

The AI/Machine Learning Engineer II will design and develop models to analyze data for health monitoring devices, focusing on diagnosis and prediction using various algorithms.

Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.

Design and build systems for AI-powered multi-modal workflows focusing on text, image, and video models for creative professionals.

The role involves designing and executing AI-driven systems, managing intelligent agents, and developing scalable applications while collaborating with cross-functional teams.

The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.

As an AI Infrastructure Engineer at Spellbrush, you will design and run inference architectures for ML models across platforms, ensuring optimal performance and scalability.

The Senior Backend Developer will architect and build scalable backend systems, integrate AI technologies, and collaborate with frontend teams to enhance user experience.

Lead technical customer engagements from discovery through deployment: assess data readiness, design and validate AI-driven workflows, manage integrations, support security/compliance approvals, and define Solutions Engineering processes.

As a Junior Backend Developer, you'll translate UI/UX designs into code, integrate with APIs, and utilize AI tools for efficiency.

The role involves developing robust robot policies using reinforcement learning algorithms, enhancing sample efficiency, and applying them to real-world hardware for robotics applications.

Lead the design and training of large-scale video/world models for robotics. Develop controllable simulators and evaluate policy success. Contribute to building a flagbearer robotics company with a focus on high success rates in real-world applications.

The role involves leading solutions engineering efforts, customer discovery, AI workflow integration, and ensuring successful deployment of enterprise solutions.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

The AI Enablement Engineer will embed with operations, finance, and sales teams to automate workflows using AI tools like Claude and OpenClaw, measure effectiveness, and ensure adoption.

As a Senior AI Solutions Engineer, you will lead technical conversations with AI research partners, translate their needs into solutions, manage proof of concepts, and construct a playbook for future engineers.