Top AI Engineer Jobs

Design and own AI/ML systems, coordinating with global teams, and overseeing production software for effective deployment and operation.

The Federal AI Solutions Engineer designs and develops AI-driven solutions on AWS and Azure, serving as a technical lead in complex project delivery, ensuring compliance and building scalable cloud platforms.

Design and maintain automation workflows using tools like Zapier and AWS. Collaborate with teams to enhance efficiency and implement scalable solutions.

This role involves leading developer evangelism for AI technologies, fostering developer communities, advocating for developers, and delivering presentations to promote Intel's software solutions.

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

As an AI/ML Engineer III, you'll develop machine learning algorithms, mentor juniors, and design AI solutions to solve complex business issues, focusing on performance and scalability.

The QE Automation Engineer will design and implement automation frameworks for validating AI chatbot systems, improving testing workflows with modern tooling.

The AI Lead Engineer will design and develop advanced AI solutions, focusing on agent-based systems, machine learning, and generative AI while providing technical leadership and collaborating across teams.

Lead design and ownership of Brex's external AI ecosystem integrations (OpenAI, Claude, etc.). Build secure, auditable, production-grade integrations, define UX and reliability standards, and partner cross-functionally to ensure safe, high-value integrations and reusable AI capabilities across the platform.

Lead technical ownership of Brex's external AI ecosystem: design, build, and operate secure, auditable integrations and apps for third-party assistants (OpenAI, Claude, etc.), define UX/reliability standards, and evangelize reusable AI capabilities across the platform to drive real customer usage and trust.

Technical leader who researches and prototypes AI/ML and agentic solutions for NTN systems, builds end-to-end POCs, implements agents and RAG/vector solutions, automates network analytics and anomaly detection, and mentors engineers to productionize innovations.

The Full Stack Developer at Stewart is responsible for software development, program logic modification, project technical support, complex problem-solving, and process improvement recommendations, while communicating effectively with team members.

Prototype, iterate, and productionize multi-step agentic workflows and AI applications that perform retrieval, synthesis, and business tasks. Design prompts, build UIs, integrate with systems, ensure reliability, monitor quality, and document reusable patterns.

Design, deploy, and maintain on-prem and hybrid AI/ML infrastructure including servers, GPU clusters, container platforms, networking, and secure cross-domain/cloud integrations. Ensure compliance, support data scientists, and collaborate with cybersecurity and application teams.

Design and build frontend and backend AI/ML prototypes and tools for government missions. Implement software enhancements, deploy scalable solutions using cloud, containers, and databases, and collaborate with research teams to operationalize ML/AI capabilities.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

The role involves designing AI systems, integrating machine learning models, automating tasks, and collaborating on product integration. Participation in risk assessment and compliance is also required.

Develop and deploy state-of-the-art physical AI for outdoor robotics, focusing on perception, planning, control, simulation-driven training, multi-sensor integration, data pipelines, and GPU-optimized training and inference.

The AI Application Engineer designs and deploys software applications, implements new features, and enhances user experience. This role requires collaboration with teams to improve data flow and system performance while providing technical support to users.

Build AI-driven systems for data replication and connector lifecycle management. Design agentic workflows for diagnosing sync failures, develop connectors and observability/automation (ML+LLM), improve control- and data-plane operations, own LLMOps across lifecycle, and partner with platform teams to embed AI capabilities and internal tooling to accelerate connector rollout and reliability.

Architect, design, and deliver enterprise-grade clinical data intelligence platforms. Leverage AI-native development and AI coding assistants to accelerate full-stack software delivery (Python, React/TypeScript), build data platforms and ETL pipelines, enforce code quality, and apply domain knowledge in life sciences/regulated environments.

Lead architecture and implementation of conversational AI systems, build scalable backend services and REST APIs, drive high-impact projects, integrate external partners and carriers, collaborate with Data Science on ML/LLM solutions, and ensure platform performance and scalability.

Fine-tune and optimize LLMs (including multi-modal) for humanoid robots and autonomous vehicles; build scalable training and deployment pipelines; work on model efficiency (quantization, weight sharing), synthetic data generation, and cross-team product alignment.

Lead full-stack development for an AI-native insurance product, owning features from concept to production. Build frontend and backend systems, integrate and orchestrate LLMs and ML models, improve internal developer tooling and CI/CD, collaborate with brokers and customer teams to iterate on AI-driven workflows, and scale the platform across carriers and lines of business.

The Senior Math Libraries Engineer will design, develop, and optimize HPC software for AI and matrix operations, while leading projects and mentoring. Collaboration with various teams and technical leadership are key responsibilities.