AI Context Engineer
Efimind
About Efimind
Efimind is building a cognitive augmentation AI system that builds persistent context from a user's thoughts, experiences, goals, relationships, decisions, and other information. The system uses AI, knowledge graphs, semantic retrieval, and agentic workflows to turn context into useful insights and proactive assistance. The goal is to build AI that understands user context and helps them think, decide, and act.
The Role
Efimind is looking for an exceptional Computer Science student or recent graduate to build AI applications backed by knowledge graphs. Emphasis is placed on strong computer science fundamentals, quick learning, experimentation with new technologies, and the ability to take a problem from an idea to a working product. This role offers an opportunity to accelerate learning by working with experts in the field.
Key Responsibilities
- Building AI features using modern LLMs and multimodal models.
- Designing pipelines to transform users' raw data into structured information.
- Developing and improving the knowledge graph.
- Performing entity and relationship extraction from natural language.
- Implementing semantic search, embeddings, retrieval, and RAG.
- Developing context selection and memory mechanisms for AI agents.
- Creating agentic workflows that reason over a user's historical context.
- Rapidly prototyping new ideas and testing them with real users.
Qualifications
- Recently completed, or are completing, a degree in Computer Science, Software Engineering, AI, or a closely related field.
- Solid understanding of graph databases or knowledge graphs.
- Enjoy learning new technologies.
- Ability to investigate ambiguous problems independently.
- Capacity to move quickly while producing high-quality code.
- Comfort working in a small team with evolving priorities.
- Clear communication and comfort discussing technical trade-offs.
Strong Plus (Not Mandatory)
- A substantial personal software project or open-source contributions.
- Competitive programming or hackathons experience.
- Research experience or publications.
Working at Efimind
- Full-time (40 hours/week) or part-time (20 hours/week)
- Fully remote work
- Flexible working schedule
- Subscription to AI tools
- Competitive compensation package