Top AI Engineer Jobs

The AI Kernel Engineer Intern will implement and optimize ONNX operator kernels, utilizing Claude Code for performance enhancement.

The role involves leading product engineering efforts, making technical decisions, collaborating with teams, and mentoring others, focused on building AI-powered healthcare infrastructure.

The role involves developing and enhancing AI-powered healthcare software, collaborating with various teams, and ensuring product usability and reliability.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior AI Engineer will manage the full lifecycle of AI systems, focusing on architecture, deployment, and compliance, ensuring scalable and cost-effective solutions.

The Senior AI Engineer will manage the lifecycle of AI solutions, focusing on architecture, deployment, compliance, and scalability in production environments. They will collaborate with various teams to optimize AI systems.

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.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.

The Software Engineer, Applied AI will develop machine learning solutions and classification models, enhancing text, image, and video understanding on a policy intelligence platform.

The AI Application Engineer drives AI transformation in semiconductor test workflows, leading customer engagements and collaborating globally to deploy innovative AI solutions.

Drive adoption of Productboard Spark by running activation sprints, managing a book of accounts, coaching product and engineering leaders on AI-first workflows, configuring prompts and contexts, supporting transitions to sustained adoption, partnering with AEs for renewals and expansions, and feeding customer insights back into product and playbooks.

The AI/ML Engineer will develop AI/ML solutions, drive business impact, and collaborate across teams to enhance profitability through advanced analytics.

Pre-sales technical lead for federal accounts who builds and delivers AI/ML and GenAI demos, designs compliant solutions (FedRAMP/DoD IL/NIST/FISMA), supports pilots/proofs, advises on data readiness and security, and partners with sales to drive federal adoption.

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

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

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

Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.

The AI/ML Engineer will design and implement AI/ML models to enhance analytics for government decision-making, ensuring accuracy, security, and alignment with objectives while mentoring staff.

You'll build high-performance frontend experiences and work across the full stack on a core part of our Physical AI product, taking end-to-end ownership of projects.

The Senior Databricks AI/ML Engineer will design and deploy AI/ML solutions in the insurance sector, focusing on Databricks architecture, data pipelines, and MLOps workflows, while collaborating with various teams to operationalize models and optimize processes.

This role involves developing and optimizing data models for clinical data, ensuring compliance, leading automation processes, and mentoring a cross-functional team to enhance data quality and architectural performance.

The Process Development Engineer III will design, implement, and operationalize AI and Data Science models to enhance biologics development, collaborating with various teams for optimization and innovation in processes.

The Staff Salesforce Technical Architect will design scalable Salesforce solutions, lead integrations, establish best practices, optimize performance, and collaborate with stakeholders for the Go-To-Market teams.

The AI/ML Software Developer will design, develop, and maintain AI applications, collaborate with teams, solve problems, and manage software debugging and documentation tasks.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.