Top AI Engineer Jobs

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.

The Senior AI Solutions Engineer will lead technical discovery, build solutions, own pilot projects, and create a playbook for the enterprise knowledge work domain. Responsibilities include engaging with research partners, designing evaluations, and translating goals into deliverables while ensuring successful prototype demonstrations before contract signing.

Develop AI-powered features, manage workflows for systems engineers, integrate language models, and ensure production reliability in collaboration with product teams.

The Lead AI/ML Engineer will develop AI systems, optimize ML models, collaborate with teams, and mentor junior members while ensuring quality in software projects.

As a Senior Machine Learning Engineer, you'll design and develop infrastructure and models for AI-powered applications while collaborating with teams to enhance product functionality.

The Full Stack Engineer will help advance the AI roadmap and support the launch of new enterprise customers while working on a remote team.

As a Senior Product Engineer, you will develop web applications, APIs, and AI workflows, collaborating from conception to delivery and owning the entire process.

Develop full-stack solutions for a robot management portal, including user authentication and data management, leveraging cloud-based technologies.

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

The Founding AI Product Engineer will develop AI-native solutions for loan servicing, owning product features, collaborating with customers, and building responsive web apps and APIs.

The AI Systems Engineer will design multimodal AI systems, build pipelines for real-time communication, and ensure reliability in production environments.

The Senior AI Platform Engineer will build and scale an AI procurement platform by developing backend services, integrating AI workflows, and creating user-friendly interfaces.

Build AI agents and architect product flows for NegotiateAI, focusing on agentic AI capabilities, user experience, and data handling requirements.

The job involves designing a Python-based testing harness for data collection in an emissions measurement study, capturing runtime and energy metrics across AI workloads.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

As a Founding Engineer, you'll manage the lifecycle of AI systems, optimizing performance and developing pipelines for biopharma marketing.

As a Founding AI Design Engineer, you will design visual assets and collaborate with engineers to create a platform that integrates AI with design workflows in pharma marketing.

The Staff AI/ML Engineer will design, build, and improve AI systems for document retrieval and data extraction, work with clients, and mentor team members to establish best practices.

Join Uplane as a founding AI engineer to develop scalable AI systems. Responsibilities include building AI models, managing databases, and ensuring product alignment with user needs.

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.