Top AI Engineer Jobs

The AI Engineer is responsible for designing and implementing AI solutions, optimizing operational efficiency, and enhancing equipment performance using Generative AI methodologies.

Lead the development of AI applications, ensuring high reliability and performance while collaborating with teams to identify use cases and implement scalable solutions. Drive AI methodologies, governance, and continuous improvement in the organization.

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.

Lead the development of large-scale video foundation models for humanoid autonomy, focusing on training strategies and model evaluation for real-world applications.

Develop learning systems using reinforcement learning for autonomous robots, focusing on policy optimization and real-world application.

The Helix AI Engineer, Modeling will design core model architectures for AI systems, focusing on multimodal inputs and improving model capabilities for humanoid robotics.

The Helix AI Engineer will design, train, and deploy large-scale generative models, focusing on diffusion modeling for robots, while enhancing robot autonomy through perception and world modeling.

As a Helix AI Engineer focused on pretraining, you will design and train foundation models using multimodal data, improve generalization strategies, and optimize distributed training pipelines.

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.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The role involves developing AI-powered features, including agent capabilities, ensuring their reliability and scalability, and collaborating with cross-functional teams. Candidates should have strong hands-on experience with LLMs and Python in production environments.

As a Senior Embodied AI Engineer, you will design and deploy intelligent control systems, manage simulations, and apply machine learning methodologies to enhance robotic performance in manufacturing environments.

The Senior Technical Data Product Manager will oversee the data product roadmap, collaborating with data engineering and architecture teams. Responsibilities include assessing legacy systems, developing product roadmaps, driving cross-functional deliveries, and ensuring technical requirements are met, aiming for swift execution and measurable impact.

Develop and deploy advanced AI/ML models using Python. Responsibilities include optimizing models, collaborating with teams, and implementing AI frameworks and LLMs.

The Solution Architect/AI Engineer IV will design and implement AI solutions, lead prototypes, develop APIs, and ensure system performance in a hybrid environment.

The role involves improving AI-assisted coding tools, making internal systems API-ready, automating engineering tasks, and enhancing developer productivity across teams.

The Senior AI Engineer will develop LLM-powered AI systems, build RAG pipelines, and solve complex information retrieval problems while collaborating cross-functionally to enhance Affinity's CRM platform.

The AI Engineer will design and develop intelligent agents utilizing LLMs and orchestration frameworks, working on scalable AI systems and ensuring data quality.

Research and develop GPU-accelerated techniques for AI and financial workloads. Analyze and optimize performance on CPU/GPU architectures, collaborate with industry and academia, publish findings, and influence hardware and software design while supporting developer adoption.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Lead the technical strategy and execution of AI solutions, mentoring teams, engaging with customers, and ensuring product alignment with market trends.

Design, build, and operate production-grade AI and automation systems for GTM teams. Implement multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, maintain CI/CD and reliability, enable stakeholders with docs and playbooks, and measure business impact through routing, analytics, and human-in-the-loop orchestration.

You will design and implement high-performance software while applying machine learning techniques to complex problems in electronic design automation.

Develop and implement Agentic AI solutions for semiconductor applications, collaborating with cross-functional teams to enhance efficiency and quality.

The role involves designing, implementing, and deploying production-grade ML systems, building data pipelines, and collaborating with cross-functional teams to deliver AI solutions.