Top AI Engineer Jobs

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The Staff Software Engineer - AI leads the development of AI solutions in Manufacturing, focusing on computer vision and machine learning systems. Responsibilities include defining AI capabilities, designing ML solutions, and driving best practices across teams.

Design, build, and scale Zocdoc's AI Phone Assistant by integrating LLMs and conversational AI into production. Architect reliable microservices, lead prompt engineering and model integration, ensure system observability and performance, and collaborate with product, design, and data teams to evolve AI-driven workflows from prototyping to production.

Design, develop, and maintain front-end and back-end web applications, providing technical leadership and innovative solutions in a collaborative multi-office environment.

In this role, you will promote MongoDB's AI capabilities, engage with developers, create educational content, and build partnerships with AI companies.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

This senior AI/ML engineering role focuses on designing ML models, embedding creation, RAG pipeline development, and integrating AI solutions within enterprise applications. Collaboration with cross-functional teams and optimization of AI pipelines are key responsibilities.

Lead the architecture and reliability of AI-driven product applications, ensuring security, performance, and facilitating rapid prototyping and shipping. Work closely with a cross-functional team to solve user problems and translate business needs into technical solutions.

As an AI Engineer at Fractional AI, you'll design and develop custom AI solutions, collaborate on projects, and contribute to the engineering culture.

Design and build agentic systems and agent workflows that interact with browsers, codebases, and APIs; collect and prepare data for SFT/RL training; evaluate model behavior; create modular tooling, memory, evaluators, prompting strategies, and benchmarking frameworks; partner with stakeholders to align AI behavior with user needs.

Lead the buildout and scaling of AI capabilities at Optimal Dynamics, establishing engineering standards and delivering production systems. Own end-to-end initiatives from data readiness to production launch, collaborating cross-functionally and mentoring teammates.

Join Prokeep as a Senior AI Engineer, building AI-powered features, defining AI strategies, and collaborating with cross-functional teams to enhance order automation for distributors.

The Senior Gameplay AI Engineer will implement AI features, collaborate across teams, optimize systems, and mentor junior engineers, focusing on game development.

The Senior DevOps Engineer will design and maintain infrastructure for AI applications, optimize workflows, manage CI/CD pipelines, and collaborate with AI engineers.

Design and operationalize AI systems on Google Cloud for defense programs, leading the delivery of secure AI/ML solutions and mentoring engineering teams.

Develop and fine-tune multi-modal microscopy vision foundation models, implement supervised adaptation and cross-modality representation alignment, build reproducible pipelines for segmentation, tracking, and classification, produce uncertainty-aware predictions, lead rigorous model evaluations, collaborate with scientists, and deploy models and workflows in scalable GPU-based environments.

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As an AI Engineer, you'll develop AI-powered systems that allow human-machine interaction through voice, focusing on data-driven insights and real-world audio processing.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

The Senior AI Engineer will develop and implement AI systems and archetypes for BioShock 4, collaborating across multiple teams while maintaining performance and quality standards.

The Solution Architect/AI Engineer IV will design and implement AI solutions, lead prototypes, develop APIs, and ensure system performance in a hybrid environment.

The AI Developer at Harvard Business Publishing will develop AI/ML infrastructure, support product teams, and drive innovation through AI applications.

Lead the technical strategy and execution of AI solutions, mentoring teams, engaging with customers, and ensuring product alignment with market trends.

As an Applied AI Engineer, you'll lead AI-driven product development, collaborate across teams, and innovate within the healthcare sector through AI solutions.