Top AI Engineer Jobs

The AI/ML Engineer will develop and deploy AI solutions using Generative AI technologies, focusing on LLMs and frameworks like LangGraph and LangChain. Responsibilities include building APIs, deploying ML models on cloud platforms, optimizing solutions, and collaborating with stakeholders.

Design, develop, and maintain scalable CPQ solutions on Salesforce. Implement Apex and Lightning components, optimize existing systems, and mentor junior developers.

The AI Engineer will develop, evaluate, and improve LLM-powered features from prototypes to production, ensuring quality and effectiveness for user deployment.

The Senior AI Engineer will maintain and enhance AI systems, author character behaviors, and optimize performance while collaborating closely with the design team and managing memory and CPU budgets.

The AI Developer role involves designing AI solutions for healthcare clients, focusing on transformation programs, AI integration, and development of CoEs. Responsibilities include client collaboration, AI/ML solution implementation, and leadership in project teams.

As a Senior Forward Deployed AI Engineer, you will collaborate with enterprise clients to architect and deploy tailored AI solutions while integrating these systems into client infrastructures. You'll lead customer engagements, build AI agents, implement data pipelines, and solve complex technical issues.

The Forward Deployed AI Engineer will architect and implement AI solutions for enterprise customers, ensuring smooth integration and deployment of AI systems while collaborating closely with customer engineering teams and developing production-grade AI agents and data pipelines.

The Staff Forward Deployed AI Engineer will integrate custom AI solutions for enterprise clients, leading technical designs, deployments, and collaborations. Responsible for AI agent development, prompt engineering, and addressing complex challenges while ensuring successful AI system adoption.

Lead enterprise AI integration efforts, developing custom AI solutions, deployment strategies, and ensuring client satisfaction through hands-on support and collaboration with customer teams.

The Senior AI Engineer will develop, train, and validate algorithms using AI, ML, and DL technologies, lead a team, and ensure quality and timely project delivery.

As an AI Engineer, you will develop AI capabilities for contract management, including model tuning, natural language processing, and robust system design, collaborating with teams to enhance legal workflows.

Develop advanced TinyML and embedded AI solutions on microcontroller platforms, optimizing performance and deploying ML models for resource-constrained systems.

As an AI Engineer at Campfire, you'll design and implement AI solutions for accounting software, working on automating workflows and building intelligent features for real-time insights.

The role involves architecting and building an internal AI copilot platform, applying AI technologies to streamline workflows and enhance decision-making across teams. Responsibilities include end-to-end ownership of internal systems, rapid prototyping, and collaboration to automate operations.

The AI Engineer will design and develop AI applications, integrate APIs, optimize performance, and collaborate with teams to implement AI solutions.

As an AI Engineer, you will design and optimize generative pipelines for image and video, diagnose quality issues, and implement solutions for UGC content generation. Collaborate on enhancing models and workflows while keeping up with industry trends.

As the Founding GTM AI Engineer, you will create AI-driven solutions to enhance revenue-generating workflows, build automations, and analyze sales data to inform strategies.

Design and build AI agent workflows, focusing on orchestration, reliability, and product metrics. Collaborate with product/design to innovate and improve LLM-powered features.

As a Senior Robotics AI Engineer, you will develop and deploy AI solutions for robot perception and navigation, ensuring system optimization and robust performance. Responsibilities include managing ML models and collaborating with cross-functional teams.

As an AI Engineer, you will train and deploy multimodal models, design evaluation frameworks, and build systems for continuous model improvement in production.

The AI Engineer will develop scalable AI systems, optimize LLMs, maintain data workflows, and ensure system resilience while collaborating on innovative solutions.

The ML Software Engineer will design and develop scalable backend services for AI/ML workflows, focusing on data engineering and system reliability.

As a Staff AI Engineer on Cortex Code Quality, you will define agent behavior and build quality systems for AI coding agents, leading cross-functional teams and ensuring dependable quality in production.

The role involves owning the AI engineering lifecycle for Cortex Code products, including feature development, context engineering, and collaboration with product and infrastructure teams. Responsibilities include designing evaluations, conducting experiments, and improving AI features.

The AI Engineer II will design, develop, and maintain AI-powered applications, ensuring alignment with client needs while managing technical components and mentoring junior staff.