AI Engineer (Agentic Systems / LLM)
- Джерело:
- djinni.co
Що робити
- Agentic systems: Build and operate multi-agent architectures — agent roles, triggers, handoffs, orchestration.
- RAG pipelines: Set up, tune, and fine-tune RAG systems end-to-end — chunking strategies, retrieval quality, iteration.
- Reliability engineering: Implement self-healing behavior — infinite-loop mitigation, graceful failures, clean handoffs between agents.
- Memory systems: Design and implement shared-memory concepts, with emphasis on fast memory.
- Evaluation & KPIs: Build evaluators of LLM performance, define KPIs, and automate evaluation (golden images, sample sizing).
Що очікуємо
- Must-Have
- Strong hands-on experience with agentic systems (multi-agent orchestration, agent roles, triggers, handoffs)
- Strong hands-on experience building, tuning, and finetuning RAG pipelines (incl. chunking strategies)
- Experience with LLM performance evaluation — building evaluators, defining KPIs, automating them
- Self-healing / resilience implementation (loop mitigation, graceful failures, handoffs)
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