Role overview
- Architect and implement advanced RAG pipelines, including cutting edge extraction, memory systems, and tool-augmented agents.
- Lead the integration of LLMs with external APIs, databases, and internal knowledge graphs.
- Architect and optimize multi-agent systems, ensuring agents can collaborate, delegate tasks, and interact seamlessly with both internal and external tools and APIs.
- Take part in LLM fine tuning projects, helping plan and architect efficient, reproductible pipelines.
- Mentor junior engineers and collaborate with researchers to bring cutting-edge NLP ideas into production.
- Optimize performance, latency, and cost across the stack.
- Own the lifecycle of NLP components: from design to deployment and monitoring.
- Contribute to internal tooling.
- 23 vacation days annually
- Birthday day off
- Community service time off
- International Women’s Day – March 8 is an official holiday for all employees
- Life and Medical Insurance
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