Top AI Engineer Jobs

The Generative AI Operations Engineer designs scalable infrastructure for LLM applications, builds CI/CD pipelines, and develops ETL pipelines to enhance AI workflows in the 6G Innovation Lab.

Senior embedded software engineer responsible for developing and reverse engineering software to support hardware functionality, building tooling and automation for analysis workflows, collaborating with cybersecurity teams to ensure secure code, and troubleshooting/configuring solutions across platforms for mission-critical clients.

Develop onboard computer vision and machine learning models for satellites, collaborating on processing algorithms and optimizing performance metrics.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

As an RTL Design Engineer, you'll develop RTL coding and simulation for SoC designs, optimizing logic for performance and power. You will collaborate with verification teams, implement microarchitecture features, and ensure design integrity in a fast-paced environment.

The job involves designing and building features for various user segments utilizing AI in workflows, mentoring team members, and contributing to engineering practices.

As a Product Software Engineer, you will develop and deploy applications, create architecture documentation, collaborate on requirements, and ensure code quality. Responsibilities include coding, testing, and integrating AI-driven features into software solutions.

Lead and manage engineering teams for software delivery, overseeing design, development, and quality processes while ensuring alignment with business objectives and best practices.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Lead the development of AI-powered audit solutions, collaborating closely with cross-functional teams while utilizing Agile methodologies. Design and implement AI agent systems focusing on document understanding and automation.

The Principal Software Engineer will develop AI-powered audit solutions, leading projects in document intelligence and collaborating closely with teams to deliver innovative features.

The role involves implementing AI features like computer vision and NLP, improving search quality, building Python APIs, and collaborating on solutions.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

Intern will support AI projects within the Power Transmission business, involving deployment, development, and validation of AI solutions.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

The Staff AI Research Engineer will architect AI systems, optimize retrieval methods, collaborate across teams, and innovate AI solutions for sales efficiency.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

As a Senior AI Data Engineer, you will design and maintain user data architectures, build scalable warehouses, integrate AI models, and develop intelligent user interactions.