Note: The job is a remote job and is open to candidates in USA. Efimind is building a cognitive augmentation AI system that creates persistent context from users’ information. The AI Context Engineer will develop AI applications backed by knowledge graphs, including features and workflows that use structured context to provide insights and assistance.
Responsibilities
- Building AI features using modern LLMs and multimodal models
- Designing pipelines that transform users' raw data into structured information
- Developing and improving our knowledge graph
- Entity and relationship extraction from natural language
- Semantic search, embeddings, retrieval, and RAG
- Context selection and memory mechanisms for AI agents
- Agentic workflows that reason over a user's historical context
- Rapidly prototyping new ideas and testing them with real users
Skills
- Recently completed, or are completing, a degree in Computer Science, Software Engineering, AI, or a closely related field
- Have a solid understanding of graph databases or knowledge graphs
- Enjoy learning technologies you have never used before
- Can investigate an ambiguous problem independently instead of waiting for detailed instructions
- Can move quickly while still producing high-quality code
- Are comfortable working in a small team where priorities can evolve rapidly
- Communicate clearly and are comfortable discussing technical trade-offs
- A substantial personal software project or open-source contributions
- Competitive programming or hackatons
- Research experience or publications
Benefits
- Fully remote work
- Flexible working schedule
- Subscription to AI tools
Company Overview