AI Context Engineer

About Efimind

Efimind is building a cognitive augmentation AI system.

Instead of treating every interaction as an isolated prompt, Efimind builds persistent context from a user's thoughts, experiences, goals, relationships, decisions, and other information. We use AI, knowledge graphs, semantic retrieval, and agentic workflows to turn that context into useful insights and proactive assistance.

Our goal is to build AI that doesn't just answer questions – it knows the context of your life and helps you think, decide, and act .

The Role

We are looking for an exceptional Computer Science student or recent graduate who wants to build AI applications backed by knowledge graphs .

You do not need to be an expert in all of these areas. What matters much more is that you have strong computer science fundamentals, learn quickly, enjoy experimenting with new technologies, and are comfortable taking a problem from an idea to a working product.

This role is particularly suitable for someone who wants to compress several years of learning into several months working side by side with the world's leading experts in the field.

What You Will Work On

Your work may include:

• 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.

You Could Be a Great Fit If You

• 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.

Any of these would be a strong plus, but none is mandatory:

• A substantial personal software project or open-source contributions.
• Competitive programming or hackatons.
• 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