Top AI Engineer Jobs

As an AI Software Engineer at Havenly, you will build AI-driven features, collaborate on product strategies, and enhance both mobile and web applications across multiple brands.

Lunos seeks a Senior Product Engineer to build user-centered B2B payment solutions using AI, contributing to product decisions and tech choices.

The Senior Verification Engineer will ensure functional correctness of AI SoCs through verification plans, test benches, and collaboration with various teams, while mentoring junior engineers.

Develop logic design and RTL coding for AI SoC, integrate IP blocks, ensure design integrity, and perform quality checks. Collaborate on architecture, timing constraints, and mentor junior engineers.

The Software Engineer will design and maintain backend services, develop APIs, improve system reliability, and collaborate with various teams, focusing on AI-driven solutions.

Design and build AI-powered features across multiple products using C# and Angular. Responsible for full-stack development and implementation of AI solutions.

The AI Automation Engineer Tech Lead will design, implement, and oversee AI-powered solutions and automation workflows while collaborating with business department leaders.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

Design and build AI-powered analytical data and machine learning infrastructure, ensuring reliability and efficiency while collaborating with teams across the organization.

The role involves building APIs, SDKs, and developer tools for AI applications, ensuring security and usability while driving adoption across teams.

As an AI Software Engineer, you'll develop production-level code in Java, design LLM applications, analyze data, and collaborate on AI model solutions.

The role involves developing architectures for AI/HPC software systems, mentoring team members, and influencing technology strategies within the organization.

The role involves developing software infrastructure for data analysis and machine learning applications, designing distributed applications, and writing clean code with automated tests.

Lead enterprise-scale AI/ML strategy and architecture, develop novel ML solutions for complex problems, guide organization-wide ML practices and standards, influence technical decisions, and build and lead high-performing cross-functional ML teams to drive innovation and business impact.

Lead ML strategy and architecture, develop novel enterprise-scale ML solutions, influence organization-wide technical decisions, guide ML practices, and build high-performing teams to deliver breakthrough AI/ML systems.

Develop and optimize AI runtimes for large language models and other AI services, focusing on performance, cost efficiency, and scalability.

Develop and deploy AI models in semiconductor manufacturing, leading technical implementation, mentoring junior engineers, and integrating research into applications.

The Lead Product Software Engineer will develop AI solutions, collaborate with teams, and lead projects focused on customer-centric product development using Agile methodologies.

Seeking a mid-level AI/ML Engineer to design, develop, and deploy machine learning models, manage MLOps practices, and integrate AI into applications for a DoD client. Requires 3-5 years of experience and TS/SCI clearance.

As a Senior Software Engineer on the Messaging team, you'll design, build, and maintain Kafka-powered streaming infrastructure, troubleshoot production issues, and mentor teammates while driving software solutions to enhance system reliability.

Designs and implements AI solution architecture, mentors team members, and develops innovative solutions to complex business challenges.

Conduct research and develop innovative generative AI models. Collaborate with teams, publish findings, and mentor junior staff while staying updated on AI advancements.

The role involves deploying AI agents within logistics firms, reverse engineering systems, debugging data integrations, and ensuring production stability with customer interactions.

As a Software Engineer II, you will design, develop, and maintain AI-driven mobile features, collaborating across teams to enhance mobile experiences used by millions.

The role focuses on designing, developing, and maintaining microservices in Java, integrating AI features, and providing technical leadership.