Top AI Engineer Jobs

The Senior AI Engineer will create systems to manage cybersecurity alerts using AI, designing and implementing production pipelines and retrieval systems, while ensuring clear decision-making in security contexts.

As a Staff AI Engineer, you'll own the architecture of AI pipelines, lead technical projects, mentor engineers, and influence product development in cybersecurity.

The Senior AI Developer Relations Engineer will engage with the developer community, create high-quality content about You.com's search APIs, and grow audience awareness through various interactions and collaborations.

As a Staff Backend AI Engineer, you will design and operate backend AI systems for Arbiter's care orchestration platform, ensuring reliability, low latency, and scalability while collaborating across teams and mentoring junior engineers.

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.

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

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.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.

Lead the development and implementation of applications systems, coordinate teams, provide technical expertise, and resolve complex business problems, particularly in the financial services sector.

Design and build an AI platform to resolve insurance claim denials, develop AI agents for workflows, and improve system performance. Collaborate closely with billing managers to understand workflows and contribute to the team's AI/ML vision.

As a Forward Deployed AI Engineer, you will integrate Latent Labs' AI models with pharmaceutical clients' workflows, focusing on tech deployment, customer advocacy, and collaborative feedback for product improvement.

The Agentic AI Engineer will design and build customized AI agent solutions tailored to client needs, manage full delivery, and ensure production quality.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.

Responsible for designing and delivering multi-agent systems for AI products, collaborating with data scientists and offshore teams, and writing production-grade Python code.

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.

The AI Engineer will design, develop, and integrate AI solutions, collaborating with engineering teams to enhance intelligence operations and data modeling.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

As an AI Engineer, you will develop, deploy, and optimize AI applications, collaborate with partners, and ensure compliance with governance frameworks.

Join a team to develop AI tools for financial markets, focusing on building workflows and integrations, improving processes, and ensuring compliance.

The AI Engineer will develop and deploy AI systems across various domains like Vision AI and Physical AI, ensuring scaled, production-ready solutions and collaboration with data science and engineering teams.

As an Applied AI Engineer at Snorkel, you'll design and implement AI solutions using state-of-the-art techniques to solve customer challenges and enhance the Snorkel platform.

The Applied AI Engineer will architect, implement, and maintain AI agents for Edison's platform, collaborating with science and engineering teams and gathering insights from R&D partners to improve the agents' capabilities and reliability.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

As an AI Engineer at Loop, you will develop AI models and features, specifically focused on document extraction, LLM scaling, and backend engineering in a collaborative team environment.

The AI Engineer will build AI-powered systems to improve workflows for healthcare businesses, focusing on agentic coding and automating processes while collaborating with non-technical teams.