iBusiness Funding · 1 month ago
AI Knowledge Data Engineer
United States
Full-time
Remote
Senior Level
$180K/yr - $240K/yriBusiness Funding is a software and lender service provider specializing in small business lending. They are seeking an experienced AI Knowledge Data Engineer to design, implement, and scale state-of-the-art AI systems that combine large language models and advanced retrieval techniques.
FinanceFinancial ServicesLending
Responsibilities
Architect, implement, and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g., Llama) with retrieval mechanisms (vector search, Elasticsearch, FAISS, Weaviate)
Design, build, and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data from diverse sources
Design, build, and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows
Orchestrate and scale training data operations, including data curation, versioning, and lineage tracking for large-scale LLM training and fine-tuning
Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain-specific knowledge for improved retrieval and reasoning
Implement and optimize knowledge retrieval strategies (dense/sparse retrieval, ranking algorithms) to maximize system accuracy and relevance
Aggregate disparate knowledge bases and heterogeneous data into a fused approach for access to relevant contextual information
Design cognitive memory systems for AI agents, enabling persistent knowledge retention and contextual awareness across interactions
Collaborate with AI researchers, data scientists, and engineers to align knowledge architecture with business objectives and ensure data quality
Evaluate and integrate new technologies and research advancements in LLMs, RAG, information retrieval, and knowledge representation
Maintain clear and comprehensive documentation of models, pipelines, and workflows
Qualification
Required
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
Preferred
Experience with LLM fine-tuning, prompt engineering, and RAG optimization
Familiarity with data-centric AI principles and training data quality assessment
Experience with cloud platforms and scalable storage solutions
Background in cognitive memory architectures or AI agent design
Benefits
Medical, dental, and vision coverage
401(k) with company match
Paid time off
Company
iBusiness Funding
iBusiness Funding provides lending, small business capital, loan package marketplace, underwritings and loan processing services.
Founded in 2013
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Alicia Vinas
Executive Assistant To Chief Executive Officer
Recent News
2025-09-29
Company data provided by crunchbase