AI Knowledge Data Engineer

We are seeking an experienced expert AI Knowledge Data Engineer to design, implement, and scale state-of-the-art AI systems that combine large language models (LLMs), advanced retrieval techniques, cognitive memory architectures, including knowledge representation, and data fusion. The role involves architecting, implementing, and optimizing retrieval-augmented generation (RAG) workflows, designing scalable data pipelines, and building foundational knowledge bases that power next-generation AI agents.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience designing and scaling data pipelines and training data workflows for LLMs or similar AI systems.
• Strong background in information retrieval systems, vector search technologies, and RAG frameworks (e.g., FAISS, Pinecone, Elasticsearch, Milvus).
• Proficiency in programming (Python) and machine learning libraries (TensorFlow, PyTorch).
• Experience with ontologies, knowledge graphs, and semantic technologies (RDF, OWL, SPARQL).
• Familiarity with distributed data processing and orchestration tools (e.g., Spark, Airflow, Kubeflow).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a cross-functional, fast-paced environment.

Benefits

• Medical, dental, and vision coverage
• 401(k) with company match
• Paid time off