Develop and implement AI solutions using Langraph SDK or similarity-based approaches 

Create and optimize LLMs (Large Language Models) for various use cases 

Collaborate with the team to integrate Knowledge Graphs into AI applications 

Design and manage agent-based infrastructures to support AI solutions 

Implement RAG (Retrieval-Augmented Generation) techniques using Graphene 

Develop advanced models for audio and image processing 

Master’s degree in Computer Science, Software Engineering, Data Science, or a related field 

Experience with Langraph SDK for developing AI solutions 

In-depth knowledge of LLMs (Large Language Models) 

Experience with Knowledge Graphs and the ability to integrate them into AI applications 

Ability to design and manage agent-based infrastructures 

Experience with RAG (Retrieval-Augmented Generation) techniques using Graphene 

Knowledge of models for audio and image processing 

Proficiency in Python 

Experience with other AI and machine learning technologies 

Knowledge of deep learning frameworks such as TensorFlow, PyTorch, etc 

Ability to work with large datasets and optimize model performance 

Proven experience in AI development, with a focus on Langraph SDK and LLM models 

Excellent English communication skills (written and spoken) 

Strong problem-solving skills 

Attention to detail 

Ability to work independently and in a team