Staff Artificial Intelligence Engineer

Requirements 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) Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus
• Desirable) You have hands-on experience in implementing the Lakehouse architecture
• Desirable) You are familiar with identity resolution and have experience building identity resolution systems
• Desirable) You have experience with backend API designing and implementation
• Desirable) You have experience optimizing the end to end performance of distributed systems
• Desirable) Impeccable attention to detail and superior organizational skills

What the job involves 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 #J-18808-Ljbffr Applecart