Top AI Engineer Jobs

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.

Architect and own backend systems for AI-driven property risk intelligence. Design APIs, data pipelines, and ensure system reliability.

As a Founding Engineer at Baton AI, you'll design and build key systems for our AI automation platform, working with cutting-edge tech and collaborating closely with customers.

As the first full-stack founding engineer, you'll develop and scale AI features, engage with customers, and shape product direction while directly influencing company growth.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

The Applied AI/ML Engineer will design, implement, and scale models for urban simulations, collaborating with teams to ensure alignment with customer needs and product requirements.

The Senior Software Engineer will lead the Internal Tools Team, focusing on creating AI-driven automation platforms and mentoring other engineers. Responsibilities include designing internal tools, integrating systems, and tracking performance metrics.

Build web applications for the Agentic Computational Engineering platform using full stack technologies, focusing on performance and collaboration features.

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

Lead and perform spacecraft and payload assembly, integration, and test (AI&T) activities, develop and execute hardware/software test plans, build and deploy GSE/STE, troubleshoot anomalies, conduct system-level testing, support customers and training, and travel (~25%) for on-site integration and test campaigns.

The role involves developing AI strategies, innovating across platforms, mentoring engineers, and participating in product and architectural decision-making.

Design and build AI-powered prototypes and early production systems using LLMs, agentic workflows, and vector databases; develop full-stack APIs, data pipelines, and cloud-native deployments; partner across teams to validate, document, and transition POCs to production.

Lead design and delivery of API-first microservices and full-stack solutions. Provide technical leadership, mentor engineers, design resilient event-driven systems, deploy hybrid-cloud services, and ensure API performance, security, and scalability across domains.

Lead AI solutions by integrating and maintaining AI/ML capabilities, developing full-stack features, and implementing secure data integrations, while mentoring engineers and aligning with platform standards.

This role involves operating an AI platform, designing intelligent automations, ensuring platform reliability, and collaborating with business teams for effective workflow integration.

Develop AI-powered features, manage workflows for systems engineers, integrate language models, and ensure production reliability in collaboration with product teams.

The Data Engineer will modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

The AI/ML Engineer will design and implement AI solutions, collaborating with various teams to enhance production-grade services using ML and MLOps practices. Responsibilities include model lifecycle management, security measures, and ensuring reliability in AI applications.

The Principal Software Engineer will design and develop innovative AI-driven solutions for the banking industry, lead engineering teams, and ensure quality software practices while implementing GenAI applications within the SDLC.

Lead Engineer will design and optimize AI systems for games, oversee a team, ensure performance, and mentor engineers.