Top AI Engineer Jobs

Lead software engineering efforts by developing secure, high-quality applications using Java and AWS, while mentoring teams and improving operational stability.

The Principal Software Engineer will create scalable coding frameworks, develop production code, advise on AIML technologies, and lead technical efforts in cloud application development.

The Lead Automation & AI Engineer develops enterprise solutions with Microsoft Power Platform, integrates Azure AI services, ensures AI governance, and mentors developers.

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 and build scalable services and APIs for intelligent finance systems using Python and GCP, collaborating with AI engineers for product enhancement.

The Senior Frontend Engineer will build user-facing layers for intelligent financial systems, using Vite, React, and Tailwind while ensuring high usability and performance.

Lead the architecture for an intelligent finance platform, shaping scalable services and resilient APIs, primarily in Python on GCP. Mentor engineers and ensure data modeling and security best practices are implemented.

The role involves developing AI-focused IDE experiences, integrating LLM tools, and enhancing developer productivity through innovative UI and backend systems.

Develop AI-assisted tools for Datadog developers, focusing on generating tests, fixing bugs, and improving performance with LLM integration.

As a Software Engineer in AI Solutions, you'll manage the AI stack and product development, collaborating with stakeholders to enhance customer capabilities and business value.

The role involves developing a backend for AI-powered care systems, optimizing video processing, and ensuring high system uptime while debugging complex issues.

As a Software Engineer on the AI Products Team, you will build features, improve LLM models, develop infrastructure, engage with customers, and shape team culture.

As a Voice AI Agent Software Engineer, you will build and improve AI voice agents for customer support, focusing on voice recognition and interaction systems. You'll collaborate on software development and enhance AI capabilities while working with cross-functional teams.

As a Software Engineer on the AI Products Team, you'll develop features integrating LLMs, improve AI infrastructure, enhance model performance, and engage with customers to shape user-friendly solutions.

The Staff Agentic AI Engineer will develop autonomous AI agents for cybersecurity, collaborating with teams to enhance threat responses and mentoring engineers.

The Full Stack AI Engineer develops AI-powered solutions for digital pathology, collaborating across teams, architecting systems, and ensuring compliance.

The AI Engineer will develop full-stack applications integrating AI solutions, building intelligent systems for HR benefits, and collaborating across teams for implementation.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

The Senior AI Platform Engineer manages Cargill's AI-assistant platform, ensures its performance and compliance, and conducts upgrades and optimization.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

Lead the design and delivery of high-impact applications, mentor engineers, and drive technical initiatives while collaborating with cross-functional teams.

As an Applied AI Engineer, you will onboard customers, deploy AI solutions, work on complex projects, and provide technical guidance. You'll contribute to open-source projects and communicate effectively with stakeholders.

The Applied AI Engineer will unify data sources into a context graph, orchestrate AI agent systems, deliver capabilities, define success metrics, and ensure reliability in a revenue software context.

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 role involves building AI conversational experiences for enterprise clients, collaborating with teams, and enhancing customer experience through AI solutions.