Top AI Engineer Jobs

As an AI Engineer at Fieldguide, you'll develop AI agents for complex audit workflows, design systems for reliability, and optimize agent capabilities based on customer needs. You'll build and integrate systems using LLMs and ensure agents improve over time, collaborating closely with product and design teams.

Lead end-to-end IFS Cloud architecture and integrations, design AI-augmented solutions (forecasting, scheduling, anomaly detection), define extension and environment strategies, ensure security/resilience, and align IFS data with enterprise BI/ML initiatives while partnering with stakeholders.

As a Senior AI Engineer, you'll develop and deploy AI agents, focusing on model fine-tuning, infrastructure, and user interaction across social platforms, ensuring reliability and engagement.

As an Applied AI Engineer, you will identify, scope, and deliver AI capabilities, partnering with teams to integrate AI solutions, automate workflows, and enhance product functionality while ensuring reliability and maintainability.

Lead the transformation of our marketing ecosystem by designing AI-driven workflows, building generative asset pipelines, and developing predictive models while ensuring compliance with global privacy standards.

As a Senior Software Engineer - AI, you will design and implement AI systems, enhance workflows, mentor teammates, and drive quality in collaborative settings.

The AI Developer will design and implement AI solutions tailored for federal healthcare, collaborating with teams to optimize healthcare data analysis and improve service delivery. Responsibilities include developing AI software, ensuring compliance with regulations, and maintaining data privacy.

The AI Engineer Lead is responsible for developing scalable AI solutions, collaborating with a team, and managing the transition from proof-of-concept to production. The role involves hands-on development using Python and AI technologies, focusing on productizing AI solutions and continuous learning to innovate.

The role involves hands-on building of full stack applications, implementing AI tools for development, and technical leadership. Responsibilities include feature ownership, CI/CD management, cloud infrastructure, and mentoring team members.

Design and implement Lakehouse solutions and data pipelines, optimize Databricks environments, and integrate AI applications while delivering exceptional results for clients.

Lead AI initiatives by managing a team, developing AI algorithms, collaborating across teams, and driving continuous improvement in AI solutions.

Develop and maintain AWS-based AI solutions, implementing features, building AI-powered product capabilities, and ensuring code quality through testing and collaboration.

The Senior AI Engineer will design, develop, and implement multi-agent AI systems to optimize healthcare revenue management, focusing on agent orchestration and API integration.

The AI Engineer will develop AI-powered tools for structured content workflows, focusing on model evaluation, fine-tuning, and improving generation quality in collaboration with various teams.

Lead the design, implementation, and enhancement of LLM-powered AI solutions, collaborating with teams to drive innovation and business outcomes.

As the Sales AI Engineer, you will build AI-powered workflows to enhance sales productivity, integrate tools, and measure impact across systems.

Lead and implement AI-assisted engineering workflows within software development, focusing on scalable AI integration, CI/CD automation, and team enablement.

The Principal AI Engineer designs and implements AI systems to solve business challenges, focusing on advanced analytics and collaboration with teams, while ensuring compliance and managing risks.

Lead the design and evaluation of conversational AI systems from data preparation to model deployment, focusing on transforming unstructured conversations into actionable insights.

Lead design and evaluation of applied AI systems for conversational intelligence. Responsibilities include model architecture, evaluation frameworks, and collaboration with cross-functional teams.

As a Senior AI Engineer, you will build and optimize AI components and pipelines, experiment with advanced AI techniques, and collaborate closely with engineering and product teams to deliver high-quality AI solutions.

The Expert AI Engineer will lead AI initiatives, build rapid prototypes, make technical decisions, and collaborate with leadership to enhance Sherpany's competitive advantage in AI technologies.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

The Lead Software QA Engineer will integrate quality into the AI-first engineering workflow, enhancing developer behavior towards reliability and efficiency. Responsibilities include building automated testing systems, defining production standards, collaborating with Sales and Product, and ensuring data integrity and usability.

The Lead Data & AI Security Engineer will integrate security into data-driven and AI solutions, collaborating with technology and business teams to ensure security best practices. Responsibilities include risk guidance, security enablement, collaboration with security officers, oversight of security governance, and continuous improvement of security practices in alignment with regulatory requirements.