Top AI Engineer Jobs

The AI Engineer will design, build, and deploy scalable AI agents, focusing on enhancing a WhatsApp-based platform while integrating sophisticated systems for diverse functions.

The AI Engineer will design, build, and scale autonomous AI agents for the WhatsApp platform, integrating AI into financial services for Latin immigrants. Responsibilities include development of AI agents, integration, evaluation of LLMs, and prompt engineering.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

Build and ship core product features for Thorin's user-facing product, owning both frontend and backend logic in a fast-paced startup environment.

The AI Engineer II will design, deploy, and scale the internal agentic framework for intelligent finance, integrating with Snowflake, dbt, and AWS S3 to automate workflows and enhance data insights while collaborating with data engineers.

The AI Solutions Engineer will develop AI agents and workflows to improve Sales performance, guiding strategies and collaborating across teams to implement AI solutions.

This role involves developing AI integration strategies for enterprise clients, building GenAI workflows for large-scale data, and maintaining customer relationships.

Build, deploy, and maintain production AI agents for scientific R&D. Work directly with customers to prototype, integrate, troubleshoot, and iterate on agent architectures, prompting, tooling, and evaluation to deliver measurable scientific and operational impact.

The AI Developer Intern will design and develop AI agents, implement RAG models, fine-tune open-source models, collaborate with teams, and optimize AI systems.

As a Staff/Principal AI Engineer, you'll design and implement AI strategies for legal tech, lead engineering teams, and guide AI projects while collaborating across departments.

The Senior Applied AI Engineer will build AI-driven interactive product demos, collaborating with design and engineering teams to create intelligent multimodal experiences.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Specialist Software Engineer will design and build AI applications and actuarial systems in a hybrid cloud environment, focusing on AWS services and automation capabilities.

As an AI Engineer, you'll build and deploy AI applications, integrate LLM systems, and work with complex regulatory datasets to enhance the Redica platform.

As an AI Developer, you will build and deploy machine learning applications, collaborate with engineers and scientists, and optimize organizational efficiency. You must have strong programming skills, security clearance, and extensive experience in AI and software engineering.

As an AI Engineer, you'll develop and deploy AI systems, collaborating with teams to optimize solutions, manage datasets, and implement AI strategies for military applications.

The AI Engineer will design and develop innovative frameworks for trading and research, conducting large-scale experiments and collaborating with a team on foundational models and cloud platforms.

The Senior AI Engineer will implement AI solutions, consult stakeholders, lead projects, and ensure integration of cutting-edge AI technologies to meet business goals.

As a Senior AI Engineer, you'll implement AI solutions, facilitate customer workshops, lead development projects, and align strategies with business objectives, utilizing Azure and OpenAI technologies.

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.

The role involves designing, developing, and testing scalable microservices for electronic trading in the financial sector, utilizing Java and AI technologies.

Lead the design and development of high-performance electronic trading platforms, collaborating with various stakeholders to ensure scalable solutions while managing risk and compliance.

Design and operate cloud network infrastructure on Azure and AWS, build AI platforms, oversee infrastructure-as-code, and ensure security compliance.

Lead large-scale AI projects, prototyping applications, implementing models, managing data pipelines, deploying AI solutions, and collaborating with teams to drive AI strategies.