Artificial Intelligence Engineer
PrivateAI is an AI-powered data governance and knowledge-graph platform focused on securely processing, analyzing, validating, and monetizing research and other data assets. It serves researchers, data analytics and GenAI companies, healthcare organizations, enterprises, and data contributors.
Maintainer signals as of 9/25/2026
Funding history
About PrivateAI
PrivateAI develops a privacy-focused AI platform that converts unstructured data into datasets and knowledge graphs for search, visualization, analysis, and discovery of hidden relationships. Its ecosystem includes a data marketplace, peer-to-peer research collaboration, crowdsourced data contribution, encrypted data handling, AI analytics, and PGPT token-based payments and rewards. The organization offers free, premium, and enterprise plans for individuals, research labs, commercial data and AI companies, healthcare organizations, and larger businesses.
Skills
About the Role
Develop AI models for a knowledge graph system that predicts hidden links between entities in scientific texts. The role involves extracting knowledge graphs from plain and encrypted scientific articles, analyzing raw data, finding relevant knowledge graphs for user requests, and associating knowledge graph databases with corresponding articles.
Requirements
- Strong proficiency in Python, R, Mistral, spaCy, and BERT
- Deep understanding of machine learning with TensorFlow, Keras, and PyTorch
- Expertise in natural language processing and data analysis
- Experience with Tableau and PowerBI
- Familiarity with Hadoop and Spark
- Knowledge of AWS, Azure, GCP, Docker, and Kubernetes
- Experience with SQL and NoSQL databases
- Understanding of HTML, CSS, and JavaScript
- Excellent project management and team leadership skills
- Preferred background in scientific research data management
- Preferred experience with blockchain technology and cryptocurrencies
- Preferred experience with HELib, Microsoft SEAL, PALISADE, OpenFHE, TFHE, HEAAN, and lattigo
Responsibilities
- Extract knowledge graphs from scientific articles uploaded by scientific groups
- Extract knowledge graphs from preliminary encrypted scientific articles
- Analyze and define regularities in raw data based on user requests
- Find available knowledge graphs for word, phrase, or sentence search requests
- Associate knowledge graph databases with corresponding articles in storage to provide search responses
Benefits
- Market-competitive remuneration
- Performance-dependent bonuses, including commission from funding raised
- Token vesting
- Access to company, advisor, and CEO networks and prestigious memberships
- Paid invitations to conferences and business events in global technology and finance hubs