Role: AI Engineer (Junior)
Year: 2026
Qualification: Bachelors
Experience (years): 0-1
Job description:
• You have shipped multi-agent systems in production — not prototypes, not demos. Real users, real scale, real failure modes.
• You have deep, hands-on experience with both vector databases and knowledge graphs, and critically, with combining them in hybrid retrieval architectures.
• You understand orchestration frameworks (LangGraph, CrewAI, AutoGen, or equivalent) well enough to know when not to use one.
• You can design retrieval pipelines that blend semantic search, graph traversal, and temporal signals — the kind of system that models like Ebbinghaus forgetting curves and Zeigarnik effects demand.
• You have practical experience with protocol-level integration work connecting AI agents to external services and data sources.
• You communicate architecturally — you can draw a system on a whiteboard and make a room of senior engineers and investors understand why it matters.
• Background in cognitive science, computational neuroscience, or memory systems research — even informally.
• Experience scaling AI systems in B2C (consumer-grade latency, UX sensitivity, personalization at scale).
• Track record mentoring engineers and building AI-capable teams from strong traditional engineering foundations.
• Contributions to open-source AI/ML infrastructure projects. 
Technical skills: Python, VectorDB, LangGraph, CrewAI, AutoGen, ML
Soft skills: Communication, Problem Solving