
Lead AI Engineer – NLP Specialist
1 day ago
We are seeking a highly skilled technical professional to lead the development of cutting-edge Natural Language Processing (NLP) and Generative AI solutions.
The ideal candidate will have extensive experience in designing and optimizing retrieval systems using knowledge graphs and vector databases, with a strong background in Machine Learning, AI, and NLP. The candidate should also possess expertise in designing production-grade Retrieval-Augmented Generation (RAG) systems and have a solid understanding of Large Language Model (LLM) internals, prompt engineering, fine-tuning, LoRA, PEFT, and use of open-source and hosted foundation models.
This is an exciting opportunity to work on impactful AI capabilities in real-world settings. If you have a passion for innovation and collaboration, we encourage you to apply.
Key Responsibilities:
- Design and optimize retrieval systems using knowledge graphs and vector databases.
- Develop and implement NLP and Generative AI solutions using RAG technology.
- Collaborate with ontology domain experts to integrate structured knowledge bases and semantic relationships into the solution stack.
- Leverage modern frameworks like Lang Graph, Lang Chain, Llama Index, Smol Agents, and others for orchestrating agent-based and tool-augmented pipelines.
Requirements:
- Extensive experience in designing and optimizing retrieval systems using knowledge graphs and vector databases.
- Strong background in Machine Learning, AI, and NLP.
- Expertise in designing production-grade RAG systems.
- Solid understanding of LLM internals, prompt engineering, fine-tuning, LoRA, PEFT, and use of open-source and hosted foundation models.
Preferred Qualifications:
- Experience working with ontology domain experts.
- Familiarity with modern frameworks like Lang Graph, Lang Chain, Llama Index, Smol Agents, and others.
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