AI Engineer

We are looking for an experienced and motivated AI Engineer with a strong background in Retrieval-Augmented Generation (RAG), Generative AI, Large Language Models (LLMs), and related technologies. The ideal candidate will drive the design, optimization, and deployment of AI models across various domains, including natural language processing, voice technology, and computer vision.

Key Responsibilities:

Design, develop, and optimize Retrieval-Augmented Generation (RAG) and Advanced RAG architectures for enhanced contextual information retrieval and generation.
Fine-tune and customize Large Language Models (LLMs) to meet specific business requirements.
Build Generative AI solutions for text, images, and video synthesis.
Develop and implement Voice Chatbots using NLP and speech recognition frameworks.
Apply Deep Learning techniques for classification, prediction, anomaly detection, and other use cases.
Work on Computer Vision models for image processing, object detection, and video analytics.
Use frameworks and tools such as LangChain and LangGraph to build scalable AI applications.
Collaborate with cross-functional teams to integrate AI models into enterprise products and platforms.
Ensure models are optimized for performance, scalability, and deployment in production environments.
Stay up to date with the latest advancements in AI, machine learning, and deep learning.

Requirements:

Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or related field.
Proven experience in developing and deploying RAG, LLMs, and Generative AI applications.
Proficiency with Python, TensorFlow, PyTorch, Hugging Face Transformers, or similar frameworks.
Strong understanding of NLP, Deep Learning, and Computer Vision principles.
Hands-on experience with tools like LangChain, LangGraph, and vector databases.
Familiarity with speech-to-text and voice interaction platforms.
Excellent problem-solving skills and ability to work independently or in a team.
Strong communication skills for collaboration with developers, data scientists, and stakeholders.

Benefits: