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8 hours ago
As a visionary leader in artificial intelligence, you'll be at the forefront of revolutionizing the technology landscape. We're seeking an exceptional engineering talent to build innovative platforms and lead high-performing teams.
You'll design, develop, and optimize large language model pipelines using LangGraph and other orchestration tools. This involves implementing scalable retrieval-augmentation generation architectures to integrate internal and external knowledge bases, as well as working with knowledge graphs to structure, enrich, and query data efficiently for LLM consumption.
Additionally, you'll build and maintain AMA-style agents capable of answering complex domain-specific queries, fine-tune or prompt-engineer LLMs for performance, alignment, and reliability, and collaborate with MLOps and infra teams to deploy models and pipelines in production.
Required Skills- 5+ years of experience in applied machine learning, preferably with LLMs or NLP.
- Strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks.
- Solid understanding of RAG pipelines, vector stores, and prompt engineering.
- Experience working with knowledge graphs.
- Familiarity with LLMs such as OpenAI GPT, Gemini.
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