Top AI Engineer Jobs

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

AI and ML Engineer responsible for training, testing, deploying, and maintaining ML models. Collaborate with data teams to deliver solutions and guide clients on ML technologies and algorithms.

Customer-facing specialist who analyzes and explains AI runtime security test results (POCs, red-teaming, scanners), diagnoses false positives/negatives, defines risk thresholds, and enables customers and internal teams on prompt/policy tuning, evaluation, and AI risk interpretation.

The AI Enablement Engineer will build and deploy AI agents, design intelligent workflows, and collaborate with teams to improve processes using AI technologies.

Lead the design and implementation of AI-driven workflows, ensuring future business capabilities are AI-first while collaborating with cross-functional teams.

Design and build AI-driven POCs and early-production systems using LLMs, agentic workflows, and vector databases; integrate with Copilot/ChatGPT and other models; develop full-stack APIs, data pipelines, and cloud-native deployments; create prompts, tools, and agent architectures; partner across teams to ensure responsible AI and transition POCs to production; research and document AI experiments.

Design and build AI-powered prototypes and early production systems using LLMs, agentic workflows, and vector databases; integrate with model platforms; develop full-stack APIs, data pipelines, and cloud-native deployments; drive experiments, POCs, and transition solutions to production while partnering across product, data, and security.

Lead design and build of AI-powered POCs and early production systems using LLMs, agent workflows, vector DBs, and cloud-native services. Integrate models, develop APIs/pipelines, partner cross-functionally, and drive experiments to production.

Develop methods for interpretable AI in credit risk modeling by analyzing Transformer architectures. Collaborate with experts to ensure practical applications and create durable research tools.

The role involves designing and delivering AI-powered solutions, collaborating with stakeholders, and managing end-to-end project delivery in a technology-focused environment.

Lead Identity Engineer responsible for architecting API security and authorization platforms, focusing on protecting data against unauthorized AI access using frameworks like Fine-Grained Authorization.

The role includes developing technical marketing content for NVIDIA's AI models in autonomous vehicles, engaging with developers and partners, leading workshops, and translating sophisticated AI concepts for diverse audiences.

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

The role involves creating technical content for NVIDIA's AI platform, collaborating with engineers, and engaging with the developer community on AI topics.

Develop AI systems for efficient inference, design and optimize kernels, and build domain-specific compilers and runtimes while collaborating with engineers.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Develop groundbreaking techniques to accelerate AI workloads on NVIDIA GPUs. Optimize performance of complex AI systems and collaborate with experts in the field.

As a Software Engineer at Paces, you will build AI automation solutions to expedite power development, working closely with industry experts and taking ownership of projects to enhance scalability and features.

Design, develop, test, and maintain real-time, high-availability air traffic systems. Integrate AI-assisted tools across the SDLC for coding, refactoring, debugging, and test generation. Translate complex requirements into maintainable designs, build automation scripts, support system integration, and promote code quality, reuse, traceability, and cross-team collaboration in safety-critical environments.

The Staff Machine Learning Engineer develops generative AI applications, collaborates across teams to support product execution, and optimizes AI solutions for performance and monitoring. Responsible for research, strategy, planning, and quality assurance of AI systems in production.

The Senior Machine Learning Engineer will design and maintain AI applications using generative models while collaborating with teams to ensure quality execution of user stories and application support in production.

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

The Advisor Lab Automation Software Engineer will design and implement software integrations for lab automation, focusing on AI-driven processes, while providing technical leadership and mentoring.

The Principal Software Engineer will develop AI-powered audit solutions, leading projects in document intelligence and collaborating closely with teams to deliver innovative features.

The Product Engineer Senior Consultant I (Full Stack Java/AI) designs, builds, and enhances digital products, implementing AI technologies to streamline workflows and support enterprise operations.