AI and Data Engineer
Core
Design scalable data pipelines and AI/ML components to build a synthetic persona platform that models human behavior and decision-making.
Role type
Senior IC AI and Data Engineer
Builds
Synthetic persona platform, data pipelines, AI/ML agents, and model serving infrastructure
Domain
Applied AI, Synthetic Data, Behavioral Modeling
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Data processing frameworks (Spark, dbt, Airflow, Prefect), ML model deployment, LLMs and AI tooling (RAG, agents), Data modeling and schema design, Cloud data infrastructure (AWS, GCP, Azure), System architecture design, API and microservices development
Preferred skills
Snowflake, Behavioral modeling and simulation, NLP and computational social science, Open-source AI contributions, Synthetic data generation techniques
Technologies
Python, Spark, dbt, Airflow, Prefect, LangChain, LangGraph, LlamaIndex, CrewAI, Kafka, Pub/Sub, AWS, GCP, Azure, Snowflake
Responsibilities
Design and build scalable data pipelines for structured and unstructured data; Develop and iterate on AI/ML components including LLM-based agents and embedding models; Architect and maintain data infrastructure including feature stores and vector databases; Collaborate with researchers to translate behavioral frameworks into system components; Monitor model and pipeline performance in production; Contribute to system design discussions and technical roadmap
Seniority
Mid-Senior, hands-on IC