Top Artificial Intelligence Software Engineer Jobs

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

Build and scale self-serve, customer-facing growth products across the full stack. Partner with product, design, and GTM teams to run data-driven experiments, implement growth initiatives, and deploy production-quality systems. Drive architecture, testing, and performance/security best practices while measuring impact on revenue, retention, and engagement.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

Lead customer adoption of Evo products through technical leadership, strategic delivery, and implementation of customer-specific tooling. Drive product evolution based on customer feedback and engagement.

Lead a small cross-functional growth team as a hands-on engineering player-coach. Build full-stack features (React, TypeScript, Python), extend monetization systems, run experiments, and drive conversion, activation, and revenue metrics in partnership with Product, Design, Data, and Marketing.

The Full-Stack Engineer will develop integration solutions for insurance applications, create APIs, maintain microservices, and enhance business systems with AI technologies.

Design, build, and operate data pipelines and aggregates for Zeta's AdTech platforms, ensuring data quality, performance, and reliability while collaborating with various teams.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

The Staff Software Engineer will lead technical efforts in designing and maintaining high-performance forecasting and AI systems, ensuring reliability and operational excellence.

The role involves designing and implementing software architecture, collaborating with engineering teams, and ensuring high productivity and quality in software development.

As an Engineering Manager, you will lead a team to build scalable products, enhance engineering practices, mentor staff, and drive innovation in data management solutions.

Lead the development and deployment of software for AI and mission planning, managing teams and ensuring successful project execution.

The Deputy Chief Engineer will lead software development for AI, ML, and decision systems, managing teams and driving innovation in national security applications.

The Product Solutions Architect will educate and support Datadog customers on Logs, CloudPrem, and Observability Pipelines, providing architectural guidance and developing best practices for log management.

The Engineering Manager will lead a team, shaping technical direction, managing priorities, and driving execution of product initiatives while ensuring engineering best practices.