AI Context Engineer
About the role
Efimind is seeking a Computer Science student or recent graduate to join as an AI Context Engineer. The role involves building AI applications backed by knowledge graphs, working on features using modern LLMs and multimodal models, designing data pipelines, developing knowledge graphs, and implementing semantic search and agentic workflows. The position emphasizes strong computer science fundamentals, rapid learning, and the ability to independently tackle ambiguous problems. The company is focused on cognitive augmentation AI, aiming to create systems that understand and proactively assist users based on persistent context.
Must have
- 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.
Nice to have
- A substantial personal software project or open-source contributions.
- Competitive programming or hackatons.
- Research experience or publications.
Technologies
- Agentic AI
- Embeddings
- LLM
- Prototyping
- RAG
- Semantic Search
Highlights
The role is open to both full-time (40 hours/week) and part-time (20 hours/week) arrangements. Work is fully remote with a flexible schedule. Benefits include a subscription to AI tools and a competitive compensation package.
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