AI Software Engineer

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

This will initially be a six month fixed term contract with the possibility of extension. The role requires two days in office attendance.

As an AI Software Engineer, you’ll help build the next generation of intelligent observability systems — combining backend engineering, data analytics, and applied AI to improve reliability, automation, and insight generation across LiveRamp’s large-scale data pipelines.

You’ll collaborate with backend engineers, data scientists, and reliability leads to design and ship production-ready AI components that detect, explain, and even self-heal anomalies in distributed systems.

Key Responsibilities

• Develop backend services and APIs integrating AI/ML components for intelligent monitoring and automated diagnostics.
• Build data pipelines for training, evaluation, and inference of anomaly-detection and root-cause-prediction models.
• Implement statistical and ML techniques to analyze metrics, logs, and traces — enabling proactive incident detection.
• Collaborate with engineers and analysts to translate data patterns into actionable system insights and reliability improvements.
• Contribute to internal dashboards or visualization tools that surface model predictions and performance metrics.
• Maintain CI/CD pipelines, testing suites, and lightweight model deployment workflows (Docker, MLflow, etc.).
• Continuously learn and apply the latest AI/ML and observability tools to production-scale systems.

• 1-2 years of experience in software development with exposure to AI/ML applications or data-driven systems.
• Proficiency in Python and familiarity with one or more of: Java, Go, or TypeScript.
• Experience using ML frameworks such as PyTorch, scikit-learn, or TensorFlow.
• Working knowledge of SQL and experience with large datasets (Spark, Snowflake, or similar).
• Familiarity with REST/gRPC API design, Docker, and Git workflows.
• Curious mindset — able to bridge the gap between software reliability and applied machine learning. Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related technical field.

• Experience with Observability platforms (Grafana, Prometheus, OpenTelemetry) or time-series data analysis.
• Exposure to MLOps pipelines (Airflow, MLflow, Kubeflow) and production inference scaling.
• Understanding of distributed data systems (Kafka, Spark, etc.).
• Prior experience building experimental prototypes or research-driven AI features.
• Multilingual or international experience — our team collaborates across U.S., EMEA, and APAC regions.

LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

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