AI Engineer – Knowledge Modeling, Extraction and Retrieval

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October 8

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AlphaPoint

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Finance • Fintech • Crypto

AlphaPoint is a technology company that provides institutional-grade, white label digital asset infrastructure aimed at powering the next generation of financial marketplaces, payment networks, and banking. Its solutions enable secure and scalable digital asset exchanges and brokerages through a comprehensive trading platform suitable for both enterprise and entrepreneurial use. AlphaPoint offers a variety of products including exchange software, digital wallet ecosystems, brokerage platforms, automated market making software, and payment card solutions. The company also provides expert advisory and implementation services for digital asset integration, supporting the global demand for innovative financial products and services.

51 - 200 employees

Founded 2013

💸 Finance

💳 Fintech

₿ Crypto

📋 Description

• Design and implement knowledge extraction pipelines from diverse unstructured and semi-structured data sources. • Design and develop knowledge representation schemas and ontologies to model complex domain knowledge. • Develop and optimize semantic parsing techniques to convert natural language into structured queries or representations. • Utilize and contribute to graph query languages for efficient retrieval. • Use query languages to discover deep connections between entities, predict node attributes, perform clustering techniques and anomaly detection methods. • Collaborate with AI researchers, data scientists, and software engineers to integrate knowledge systems into larger platforms. • Evaluate and select appropriate tools and technologies and stay up-to-date with the latest advancements for knowledge representation and reasoning. • Contribute to the continuous improvement of our knowledge engineering processes and best practices.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. • Proficiency in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune) and graph query languages (e.g., Cypher, SPARQL, Gremlin). • Familiarity with knowledge extraction methods, including information extraction, entity recognition, and relation extraction • Proven experience in using Language Models (LMs) in knowledge retrieval and knowledge extractions applications, including the use of fine tuning, RAG architectures, query engineering and semantic parsing against knowledge graphs. • Excellent programming skills in Python, Node.js, and familiarity with ML libraries such as PyTorch and Tensorflow • Strong understanding of ontology design principles; experience with languages like OWL or RDF is a plus. • Ability to work independently and as part of a collaborative team. • Excellent problem-solving and communication skills.

🏖️ Benefits

• 100% Remote Work Environment • Competitive compensation • Equity or stock options (if applicable) • A culture of autonomy, experimentation, and learning • Opportunity to make a real impact on company trajectory