Top AI Engineer Jobs

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.

The role involves designing, developing, and optimizing AI microservices, running experiments, and collaborating on scalable architecture for production environments.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

The role involves orchestrating AI services, optimizing model inference, ensuring reliability and standardization, and collaborating with AI researchers on deployments.

As a Software Development Engineer, you will enhance sensor features for security in cloud environments, focusing on performance and reliability through collaboration and best practices.

The role involves designing and implementing AI software solutions, collaborating with various teams, overseeing application support, and managing stakeholder communications.

The AI Engineer will develop AI and machine learning models, analyze data, build NLP applications, and collaborate across teams on scalable solutions.

Design, develop, and deploy agentic AI solutions while collaborating with customers and leading teams. Implement integrations and provide thought leadership.

Develop and implement AI-driven applications, integrating generative AI models and building scalable systems with modern web frameworks and cloud technologies.

The AI Engineer will develop an Enterprise GenAI platform, design RAG systems, build AI pipelines, and implement evaluation frameworks while collaborating with cross-functional teams.

The Associate AI Engineer will develop AI-powered services, integrate LLMs, and support production systems while collaborating with senior engineers and cross-functional teams.

The Senior AI ML Engineer will develop AI systems, ensure model quality, lead architecture governance, and manage observability for healthcare solutions.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

As an Applied AI Engineer, you will develop advanced multimodal AI systems focused on voice interactions, ensuring compliance with financial regulations and implementing safety frameworks.

Design and deploy end-to-end AI workflows to automate sales, marketing, and e-commerce. Build full-stack applications and APIs (ReactJS, Go/Rust, Python), integrate Salesforce/Marketo and data warehouses (Azure, Oracle Exadata), implement LLM orchestration and prompt engineering, and construct scalable data pipelines for real-time AI-driven insights.

The Lead Full Stack and AI Developer will design and implement AI/ML solutions and cloud-native applications on Azure and ensure secure coding practices. Responsibilities include mentoring teams and collaborating on technical concepts for customer-driven projects.

The Agentic AI Software Engineer develops and maintains software for Agentic AI platforms, implements integrations, collaborates with architects and customers, and manages deployments in a fast-paced environment.

Lead the design and architecture of AI agent systems for monetization, develop machine learning models, and mentor junior engineers.

Hands-on technical leader who architects and builds production AI systems (LLM orchestration, retrieval, agentic workflows, structured reasoning). Drives architecture, monitoring, evaluation, and governance; mentors senior engineers and ships large-scale, reliable AI services.

The Founding AI Engineer will develop cloud native services, manage deployments on Kubernetes, and write production-ready agents, requiring strong skills in Python and TypeScript.

Build and maintain AI tools for internally at Automattic, focusing on enhancing productivity through LibreChat while collaborating with the team.

The Applied AI Engineer will develop and ship AI features across Automattic's products, collaborating with teams and scaling innovations that impact millions of users.

The Senior AI Engineer will lead AI initiatives, design advanced AI systems, mentor engineers, and develop end-to-end AI solutions using various technologies and tools.

Translate multi-modal AI research into 0-1 products: design and run ML experiments, build scalable training and evaluation infrastructure, implement MLOps and data pipelines, deploy models, and use AI code tooling to move experiments to production MVPs.

The Senior Machine Learning Engineer will develop and maintain algorithms/services for multi-agent AI, deliver cloud-native architecture, and optimize ML models for performance.