AI Knowledge Data Engineer

The Role:

You will join an extension team of our client – iBusiness Funding.

iBusiness Funding is a leader in providing innovative SaaS solutions for banks and lenders, with a specialization in SBA lending. We build scalable lending platforms that streamline the business lending process, allowing lenders to efficiently deliver capital to small and medium-sized businesses.

To date, we’ve processed over $7 billion in SBA loans and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family. As a top five SBA 7(a) preferred lender, our parent company offers SBA express and small loan capabilities.

Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive!

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.

In this role, you will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve, contextualize, and generate accurate information for diverse business applications.

What you'll do:

• 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

What we're looking for:

• 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

Brownie points:

• 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

Why work with us:

• Great work-life balance
• Competitive remuneration package
• Exceptional social package & special discounts
• Supplemental health & dental care
• Team bonding events
• Excellent office location & facilities
• Relaxing & gaming areas
• Free bike parking & showers

More about Pwrteams:

Join our fast-growing and diverse team at Pwrteams, where we provide premium IT and engineering nearshore solutions to our global customers. Since 2007, we pursue to become the market leader in assembling cross-border IT and engineering teams for customers. Our operations are strategically positioned within Eastern Europe’s dynamic tech ecosystems, from where we cater the global business landscape. 

We're at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To connect interesting customer projects and skilled talent alike. Become a part of our team and take the next step on your personal career journey.

How to apply:

If you recognize yourself in this role, please send your CV in English.

Our team would be excited to get in touch if your skillset and experience match the profile we look for.

Of course, all applications will be treated as strictly confidential.

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