AI Context Engineer

About the role

We are looking for an exceptional Computer Science student or recent graduate to build AI applications backed by knowledge graphs at Efimind, a company building a cognitive augmentation AI system.

Key responsibilities

• Build AI features using modern LLMs and multimodal models.
• Design pipelines that transform raw user data into structured information.
• Develop and improve our knowledge graph, including entity and relationship extraction.
• Implement semantic search, embeddings, retrieval, and retrieval‑augmented generation (RAG).
• Create context selection and memory mechanisms for AI agents and agentic workflows.
• Rapidly prototype ideas and test them with real users.

Required profile

• Recently completed or currently completing a degree in Computer Science, Software Engineering, AI or a related field.
• Solid understanding of graph databases or knowledge graphs.
• Ability to learn new technologies quickly and work independently on ambiguous problems.
• Comfortable working in a small, fast‑changing team and producing high‑quality code.

Required skills

• Strong computer science fundamentals.
• Experience with graph databases or knowledge graphs.

What we offer

• Full‑time (40 h/week) or part‑time (20 h/week) positions.
• Fully remote work with flexible schedule.
• Subscription to AI tools.
• Competitive compensation package.