Top AI Engineer Jobs

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

Client-facing AI Engineer who develops and deploys AI and generative AI solutions, collaborates across data science and engineering teams, leads cross-functional projects, and delivers technical solutions using analytics and BI tools to drive client outcomes.

Design and build an end-to-end AI Flywheel: mine edge cases, orchestrate multi-node distributed training, automate evaluation/selection, package and deploy models, and scale continuous learning across a fleet of autonomous trucks.

The Senior Software Engineer will develop AI-enabled applications, optimize data workflows, mentor engineers, and ensure software quality and performance.

The Senior Gen AI Engineer will design AI agents, build knowledge graphs, implement retrieval-augmented pipelines, and integrate data sources to enhance AI systems.

The role involves architecting and developing AI-based vulnerability management solutions, engineering endpoint security infrastructure, and leading endpoint technology initiatives.

The AI Platform Engineer Director will design and maintain scalable AI platforms, manage Kubernetes clusters, and ensure compliance across cloud services.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The Senior AI Engineer will develop and validate AI and ML algorithms, lead a team, track milestones, and enhance productivity.

The AI Engineer at BLEN will design and build agentic AI systems, including LLM-powered applications, integrate APIs, and ensure responsible AI practices for federal clients, focusing on performance and observability.

The role involves designing intelligent agent architectures and developing multi-agent systems, integrating unstructured data with Knowledge Graphs, and fine-tuning models for edge deployment.

Design and implement AI-driven automation and software systems for BlackRock's global trading platform, leading teams to improve AI use in development processes.

As an AI Engineer Intern, you'll assist with building AI solutions, testing ML techniques, managing datasets, and contributing to production AI systems while gaining hands-on experience in a collaborative environment.

The AI Engineer Intern will assist in building and testing AI/ML solutions, contribute to production AI systems, and explore agentic AI frameworks, gaining hands-on experience in a dynamic environment.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

The Senior Data & AI Engineer will design, build, and deploy complex data solutions, focusing on AI and data management. Responsibilities include creating data pipelines, enhancing data quality, and supporting analytics and machine learning initiatives.

As a Senior AI Engineer at Knotch, you will develop AI agents for workflow automation, design backend and frontend services, and collaborate with teams to integrate AI into products. Your role includes optimizing systems for performance and ensuring agent safety and governance.

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.

Design, develop, and deploy AI/ML solutions—especially generative and agentic AI—build LLM and RAG architectures, implement MLOps pipelines, prototype PoCs, and integrate models into production using cloud, containerization, and CI/CD practices while collaborating across teams.

The AI Engineer will develop and deploy large language models, build infrastructure for high-throughput AI systems, and collaborate with product teams to integrate AI capabilities.

As Lead AI Engineer, you'll design and deploy AI agents, lead AI research, build for production scale on GCP, and manage teams to innovate and solve business challenges using advanced AI technologies.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.

The Senior Staff Generative AI Engineer role focuses on architecting and building generative AI applications and systems, leading automation efforts, and fostering engineering excellence while mentoring junior engineers.

The Full Stack AI Developer will design and scale AI-driven platforms, develop CI/CD pipelines, manage deployments, and collaborate with teams.

The AI Engineer develops and deploys machine learning models for manufacturing, builds data pipelines, and implements MLOps practices while collaborating with stakeholders to translate business challenges into effective AI solutions.