Top AI Engineer Jobs

Lead the architecture and development of AI/LLM applications, focusing on model evaluation, deployment, and collaboration with product teams to enhance healthcare technology.

Lead design and development of scalable backend systems for AI applications, focusing on architecture, deployment, and collaboration with AI/ML teams.

Design and develop scalable backend infrastructure for Fireworks AI's generative AI platform, focusing on reliability, performance, and model quality optimization.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

As an AI Research Engineer, you'll focus on enhancing AI quality, improving models and orchestration, and solving complex AI problems in healthcare billing.

The Full-Stack Developer will design and deploy AI-focused tools for automation, collaborating with teams to optimize prompts and outputs, while mentoring juniors in a dynamic environment.

Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.

As a Senior Context Engineer, you'll design context systems and optimize AI agents' memory and information retrieval for educational workflows, ensuring reliable AI assistance for teachers.

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.

As an Applied AI Engineer, you will onboard customers, deploy AI solutions, work on complex projects, and provide technical guidance. You'll contribute to open-source projects and communicate effectively with stakeholders.

As a Forward Deployed Engineer, you will manage Unstructured AI deployments, build full-stack systems, and collaborate with teams to integrate AI solutions for large unstructured data.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Design, develop, and validate AI/ML products, collaborate with teams, and support leadership in commercial feasibility, primarily in pharmaceutical applications.

The AI Software Engineer will design, develop, and deploy autonomous AI systems, handling the entire lifecycle of AI products from concept to production in a startup-like environment.

The AI Software Engineer Intern will contribute to building AI products and intelligent agents, implement autonomous systems, and assist in rapid prototyping of AI solutions.

As a QA Engineer, you'll validate AI applications, manage test data, develop test strategies, and ensure quality performance of AI systems.

Integrate AI capabilities into systems, optimize performance, manage cloud services, and deploy AI models while collaborating with cross-functional teams.

As an AI Applications and Data Science Engineer, you will develop AI applications, predictive models, NLP chatbots, and data automation solutions, enhancing user experiences and optimizing data processes.

The Senior Robotics Engineer will enhance motion control systems, integrate AI-driven technologies, and innovate intelligent robotic behaviors for warehouse automation.

As a Solutions Architect, you will guide startups in building applications on OpenAI's API, providing technical advice and maximizing business value.

The Solutions Architect will partner with startups to develop and scale Generative AI applications, providing technical guidance and prototyping support, while synthesizing feedback for product improvement.

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

The AI/ML Engineer designs and implements AI/ML algorithms, manages data pipelines, and improves models based on feedback, requiring strong programming and analytical skills.

The role involves designing and maintaining ML infrastructure systems for compute allocation and scheduling, improving reliability of workloads, and collaborating with ML engineers to enhance system efficiency.

As an AI Research Engineer, you will solve complex problems, prototype solutions, and collaborate across functions to improve user experiences in learning through innovative research.