Staff Artificial Intelligence Engineer, Applecart

• You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML
• Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language
• You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data
• You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks
• You have proven records of leading AI/ML projects, ideally RAG applications
• Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)
• You are an excellent verbal and written communicator. You are an expert at producing visuals for technical communication

Desirable

• The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together
• As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms
• You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth
• This role will report to the Director of Engineering
• Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today’s technology choices support long-term scalability
• Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management
• Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence
• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure
• Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems
• Work closely with the data infrastructure team to build a unified data management and processing platform using Apache Spark, Unity Catalog, Iceberg, Dagster, etc