Top AI Engineer Jobs

The role involves designing and developing scalable AI systems using Java and Spring Boot, integrating AI capabilities, and collaborating with cross-functional teams to enhance workflows.

Collaborate within teams to design, implement, and maintain scalable services, improve codebases, and build AI features while managing complex project requirements.

Designs, develops, and deploys machine learning models and scalable data pipelines in production. Performs data discovery, quality analysis, model monitoring, and optimization. Collaborates with data science and business stakeholders to translate requirements, document features, and implement SDLC best practices to drive automated, scalable AI solutions.

Validate ML and generative AI healthcare solutions across the development lifecycle. Design and run automated, data-driven test strategies, LLM evaluation and prompt regression suites, monitor drift and safety, build dashboards and alerting, and partner with cross-functional teams to define quality gates and remediate defects.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

The Software Engineer will design and build foundational AI systems, focusing on context management and model integration for Harvey's products, while collaborating with product teams.

Senior embedded software engineer responsible for developing and reverse engineering software to support hardware functionality, building tooling and automation for analysis workflows, collaborating with cybersecurity teams to ensure secure code, and troubleshooting/configuring solutions across platforms for mission-critical clients.

The Principal Software Engineer-AI will lead the development of backend and orchestration systems for AI applications, mentor engineers, and drive multi-quarter initiatives while ensuring system reliability and performance at scale.

The Sr. Staff Software Engineer will design and implement scalable systems for Conversational AI and automation, collaborating with teams to deliver solutions, mentor engineers, and ensure system reliability.

The Senior Software Engineer will build, release, and manage the Red Hat AI Inference Server, focusing on CI/CD pipelines and multi-cloud GPU infrastructure.

The Software Development Engineer in Test will design and maintain an automated testing framework for AI systems, ensuring reliability and performance through extensive testing, debugging, and collaboration with system engineers.

Looking for a Machine Learning Engineer to build and maintain ML infrastructure for Insurance AI, collaborating across teams to enhance existing systems.

The AI/ML Engineer will design, develop, and deliver AI/ML solutions to enhance intelligence capabilities, ensuring compliance with security standards. Responsibilities include integrating analytic tools, optimizing ML pipelines, and collaborating with technical teams to deliver scalable solutions.

Design, develop, and deliver AI/ML solutions for NASIC to address adversary threats, ensuring security compliance and efficient operations in cloud environments.

Design, develop and deploy AI/ML solutions; oversee end-to-end AI projects; implement ML pipelines; advocate for responsible AI practices.

The Frontend Product Engineer will design and ship interfaces for AI systems, collaborate with domain experts and move quickly from prototypes to production, focusing on user experience.

Join the Data Platform team to build backend services and data products for efficient data movement in the company, ensuring scalability and robustness of infrastructure.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

The Lead Engineer will oversee web application development, drive architectural decisions, mentor teams, and implement scalable, AI-enhanced solutions in a fast-paced environment.

The role involves leading the design and delivery of an AI Analytics Platform, focusing on building RAG systems, integrating enterprise systems, and mentoring engineers.

As a Forward Deployed Engineer, you'll partner with pharma and biotech teams to convert scientific workflows into AI-powered systems, ensuring accuracy and reliability in implementation. You'll oversee customer accounts, drive the implementation lifecycle, and collaborate with product and engineering teams to optimize AI applications.

As a Software Engineer at Advex, you will develop AI model training solutions and scale the platform for major companies, contributing to the architectural roadmap.

As a Founding Engineer, you will build core AI systems for software quality assurance, design automation components, and define architecture alongside the founders.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

You will design and develop machine learning systems for an AI-driven dating platform, focusing on personalized matching algorithms and natural language interactions.