Top AI Engineer Jobs

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

Lead systems engineering for an AI/ML-enabled program: derive system requirements, design architectures, guide implementation and integration, produce documentation, ensure technical integrity, and liaise with government stakeholders. Work includes cloud and MLOps pipelines, model deployment, security on classified systems, and data lifecycle management.

As a Senior Software Engineer in Agentic AI, you will develop AI-driven software translation tools, design workflows, and collaborate with specialists to enhance code generation pipelines.

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

Lead AI engineering initiatives, develop AI systems, integrate LLMs, mentor teams, and collaborate on business requirements within agile frameworks.

The Staff Software Engineer, AI/ML Focus will lead AI product development, ensure system reliability and security, and collaborate with cross-functional teams to innovate tools and products.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

As a Solutions Engineer, you'll design technical solutions for customers, conduct product demonstrations, and provide implementation guidance, ensuring client success in AI integration.

The Senior Software Engineer will design architecture, implement systems for Enterprise AI, collaborate on machine learning development, and support CI/CD practices.

The AI/ML Full Stack Engineer will design and maintain applications for predictive insights, develop data pipelines, implement ML models, and collaborate cross-functionally.

Provide technical support to public sector and enterprise customers, troubleshoot complex issues, translate security/compliance needs (FedRAMP), automate tooling via scripting and AI, collaborate with engineering and product teams to resolve issues, improve processes, and provide on-call coverage.

As a Training Manager/Curriculum Developer, design and deliver training programs in Intelligence, Cyber, Data Science, and AI, collaborating with SMEs to create impactful curriculum.

As a Software Engineer in AI, you'll own projects, enhance the platform for high traffic, collaborate with product teams, and leverage AI engineering expertise.

Design and optimize Triton kernels for AI workloads, analyze performance metrics, and collaborate on hardware-software co-design to enhance next-generation AI systems.

As a Senior Full Stack Engineer, you will design and build AI-powered products, developing features to improve customer support experiences and automate workflows.

Collaborate with engineers and data scientists to develop, evaluate, and deploy ML models and agentic pipelines for search, recommendations, and discovery. Work on experimentation, performance monitoring, documentation, and production-ready systems while gaining hands-on experience in large-scale ML.

Lead technical architecture for AI initiatives, mentor mid-level engineers, and deliver scalable AI systems in a complex, cross-functional environment.

Lead technical architecture and direction for complex AI/ML systems, mentor engineers, and drive innovation in applied AI at GEICO.

The Staff AI Embedded Software Engineer will lead initiatives in embedded software development for connected devices, focusing on AI integration, architecture, and mentoring teams.

The Full Stack Software Engineer will design, build, and deploy web applications that integrate AI and ML capabilities, developing tools and APIs to enhance consumer experiences.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

Lead design and delivery of cloud-native .NET/Azure systems, modernize legacy apps, integrate AI services, mentor engineers, enforce secure best practices, and collaborate with stakeholders to ensure scalable, observable, and testable solutions.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

Join Arize AI as an AI Product Engineer, working on innovative AI products and tools, with a focus on coding and problem-solving alongside senior engineers.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.