About the role
Design and build agentic systems for creative workflows.
- •This role focuses on designing and building agentic systems that power creative workflows for short-form video.
- •Key Responsibilities Build and ship end-to-end agentic systems that meaningfully improve creative workflows.
- •Design agent architectures
- •how agents gather context, plan, select tools, and execute creative tasks reliably at scale.
- •Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences.
- •Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration.
- •Requirements 5+ years of professional industry experience.
- •A track record of designing and developing ML systems or agentic pipelines in production.
- •Deep experience with context engineering: RAG systems, token optimization, context management at scale.
- •Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning).
Tech stack
PythonMLflowKubeflowSageMakerVertex AIONNXJAXPandasNumPySparkAirflowdbtTableauPower BILookerSnowflakeDatabricksFivetranDagsterPrefectApache KafkaApache FlinkPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBCassandraSQLite
Match insights
Tech:Python, MLflow, Kubeflow, SageMaker, Vertex AI
Level:Senior