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Large Language Model Specialist
1 week ago
As a key member of our dynamic team, you will contribute to the development and deployment of advanced AI solutions in real-world applications.
The ideal candidate will have a deep understanding of transformer architectures, strong foundation of LLM techniques and models, and strong MLOps foundations.
Responsibilities:- Design and develop multi-agent systems for enterprise use cases.
- Deploy scalable MLOps pipelines and optimize LLM performance in production.
- Work with advanced models (LLaMA, GPT, etc.) and optimize them for cloud deployment.
- Design and implement efficient RAG systems (Graph, Struct, Naive) for enhanced retrieval.
- Refine prompts using techniques like CoT, ToT, and GoT to improve LLM accuracy.
- Develop LLM-based agents for dynamic tasks using orchestration frameworks.
- Prototype and Develop Production-level pipelines for advanced LLM orchestration and RAG.
- Strong understanding of Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) with hands-on experience in Large Language Models (LLMs).
- In-depth knowledge of transformer architectures, including BERT, GPT, T5, and state-of-the-art models such as GPT-4, Mistral, or LLaMA.
- Proficiency in building and deploying RAG pipelines, with practical knowledge of Graph RAG, Agentic RAG, and Naive RAG methodologies.
- Ability to design, deploy, and maintain production-level RAG pipelines with optimized retrieval, ranking, and generative model interactions.
- Understanding of pseudo-code and RAG systems.
- Experience in designing, deploying, and orchestrating multi-agent systems using LLM-based agents.
- Familiarity with tool-calling frameworks, LLM-sandboxing, and LLMs' interaction with external systems.
- Strong foundation in MLOps practices for deploying scalable, production-ready AI models.
- Experience with advanced prompting techniques.
- Proficiency with popular frameworks like PyTorch, TensorFlow, and LangChain.
- Excellent communication skills and collaboration abilities.
- Cutting-edge opportunity to work with the latest technologies.
- Mentorship from experienced AI engineers.
- Flexible and dynamic work environment.