Top AI Engineer Jobs

Design and scale backend services and developer tools for WHOOP's Generative AI platform using Java, AWS, and PostgreSQL; build APIs, observability, and abstractions to enable safe, scalable LLM-powered features; collaborate cross-functionally and mentor junior engineers.

Build and maintain AI-driven backend services and APIs, integrate LLM providers (OpenAI, Anthropic), implement scalable systems using Postgres and Redis, design Pydantic data models, write tests, troubleshoot performance, and collaborate on deployment and platform improvements.

Lead the development of AI-driven software solutions to improve customer experience by addressing issues, monitoring performance, automating resolutions, and mentoring team members in a full stack development environment.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

Design and build AI-driven systems and prototypes using language models and AI APIs. Integrate vector stores and RAG architectures, evaluate hosted and open-source models, and partner with cross-functional teams to deliver production-ready solutions.

Design and develop Generative AI agents for intent recognition and query decomposition, integrating them with internal and third-party systems, while ensuring operational efficiency and self-service data capabilities.

The Applied AI Engineer will work at the intersection of product, engineering, and research to develop AI tools, influence engineering practices, and contribute to company culture while addressing customer challenges.

As a Lead AI Engineer, you will develop ML systems, train models, optimize AI agents, and mentor engineers, ensuring focus on production AI applications.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

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.

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.