Top AI Engineer Jobs

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

The Senior AI Engineer will enhance AI systems for BioShock 4, collaborating across teams to innovate and implement new AI Archetypes while ensuring performance and memory efficiency.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

As a Lead AI Engineer, design and build scalable AI services, develop data pipelines, and enhance AI systems while collaborating across teams.

The Sr. Lead AI Engineer will lead AI services, manage backend systems, mentor engineers, and drive architecture for scalable AI applications at Klaviyo.

As a Senior Applied AI Engineer, you will develop AI solutions for business challenges, prototype innovative technologies, and ensure successful implementation for clients.

The Senior AI Enablement Engineer will design and build AI infrastructure and workflows, fostering company-wide adoption of AI-powered solutions by collaborating with various departments.

Design and develop machine learning solutions, build ML pipelines, apply NLP and deep learning techniques, ensure model reliability, and mentor junior engineers.

Lead and implement AI/ML platform solutions to enhance patient care by developing scalable systems, mentoring engineers, collaborating with cross-functional teams, and leveraging emerging technologies.

The Sr AI/ML Engineer designs and deploys generative AI and NLP solutions, develops large language models, and implements AI systems for healthcare impact.

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.

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

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

The Senior Software Engineer, Voice AI will enhance the Voice AI stack, design cutting-edge solutions, boost product quality, and drive collaboration across teams to improve user experiences.

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

Lead design, build, deploy, and support production AI systems (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize large-scale model performance and collaborate with cross-functional teams to define technical vision and roadmap.

Design, build, train, and deploy AI models for healthcare applications, collaborate with product management, and integrate solutions.

Build and ship consumer-facing products using AI-assisted full-stack development, focusing on user solutions and quality ownership.

As a Software Engineer in AI/ML Ops, you will develop algorithms, improve product systems, manage ML pipelines, and work with machine learning technologies and frameworks to enhance product performance and user experiences.

Develop prototypes and APIs, maintain backend systems, integrate front-end and user authentication, and ensure code quality and testing. Collaborate with teams and deploy to cloud platforms.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

Develop and deploy machine learning solutions for autonomous driving, collaborating with cross-functional teams and mentoring engineers for technical excellence.