Top AI Engineer Jobs

The Software Development Engineer II focuses on integrating AI technologies into geospatial software, developing tools for automation, and collaborating with teams for innovative features.

The role requires designing and optimizing large-scale networks specifically for AI and HPC applications. It involves performance monitoring, metric building, and extensive travel for infrastructure projects.

Develop and implement AI-powered tools for automating survey research workflows, focusing on integrating AI technology and efficient data processing.

Assist in building Power Apps and Automate workflows while gaining exposure to AI and low-code solutions. Document solutions and support automation initiatives.

As a Staff Software Engineer at Oura, you'll architect backend systems, lead AI orchestration, and ensure secure data integrations while focusing on user experience and rapid prototyping.

The AI Tooling Engineer will build RL environments and tools for optimizing hardware, focusing on advanced ML workloads and integrating software solutions.

The Senior Platform Engineer will manage AWS infrastructure, CI/CD pipelines, observability, and AI-assisted workflows to enhance developer productivity and performance.

This role involves leading research and technology development in AI/ML for semiconductor equipment, focusing on autonomous operation, software/hardware systems, and knowledge management.

The Senior Software Engineer will develop AI/ML systems for debugging in production environments, integrating predictive analytics and issue resolution tools.

The IT AI Innovation Engineer will design and maintain AI-driven software systems, build workflows, collaborate across teams, and ensure security in development practices.

Design and implement AI-powered solutions for document extraction and financial reasoning, focusing on ML pipelines and application of LLMs.

The Senior AI Quality Engineer ensures AI applications are reliable and safe in mission-critical environments, building custom testing frameworks and evaluating AI system performance through all development phases.

The Forward Deploy Engineer collaborates with sales to design and implement proofs of concept (POC) for enterprise clients, focusing on integration and workflow optimization while providing product feedback to improve offerings.

As a Software Engineer II, you will design, develop, and maintain AI-driven mobile features, collaborating across teams to enhance mobile experiences used by millions.

The Software Engineer II will design and maintain fullstack systems for AI-powered features, develop scalable services, and collaborate with product teams, focusing on innovative consumer experiences.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.

The role involves building and maintaining data infrastructure, conducting advanced analytics, and developing AI-enabled systems to drive insights for grantmaking for social change.

The Full Stack AI Engineer will design and maintain AI applications, develop backend services, collaborate with data scientists, conduct code reviews, and advise on AI technologies. The role requires extensive Python experience and the ability to obtain a DHS Public Trust clearance.

The Integration Engineer will build enterprise integrations for AI platforms with Microsoft Graph, focusing on API integration, security, and performance optimization.

The Integration Engineer develops enterprise integrations for AI systems using Microsoft Graph API, ensuring secure authentication and data flows while collaborating with senior engineers for production code implementation.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.

The Research Engineer will advance AI and biology research by implementing models, driving projects, and collaborating with teams to solve biological problems.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.

Lead the development of AI-driven workflows by building data pipelines, deploying ML models, and collaborating with cross-functional teams. Mentor junior engineers and contribute to engineering best practices.