AI and ML Engineer

Role Overview: You will be a part of our team working on building intelligent, agentic systems. Your main focus will be on designing, building, and optimizing AI agents using agentic AI frameworks like LangGraph. This role requires expertise in machine learning, large language models (LLMs), and deep learning architectures, where you will work at the forefront of AI technology and software engineering. Key Responsibilities: - Design, build, and optimize AI agents using agentic AI frameworks such as LangGraph for specific domain tasks. - Collaborate on the development and fine-tuning of open-source and proprietary LLMs. - Create robust RESTful APIs with FastAPI to facilitate AI model deployment and integration. - Experiment and evaluate foundational models and neural network architectures. - Enhance model performance through data curation, retraining, and optimization. - Work with agentic workflows and prepare quick POCs. Qualifications Required: - 24 years of experience in machine learning and applied AI. - Proficiency in Python and AI/ML libraries like PyTorch, TensorFlow, Hugging Face Transformers. - Hands-on experience with agentic AI frameworks, preferably LangGraph. - Strong understanding of foundational models, neural networks, and deep learning principles. - Experience with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude). - Solid background in building and maintaining RESTful APIs using FastAPI. - Bachelors degree in computer science, engineering, or related field (masters degree preferred). Role Overview: You will be a part of our team working on building intelligent, agentic systems. Your main focus will be on designing, building, and optimizing AI agents using agentic AI frameworks like LangGraph. This role requires expertise in machine learning, large language models (LLMs), and deep learning architectures, where you will work at the forefront of AI technology and software engineering. Key Responsibilities: - Design, build, and optimize AI agents using agentic AI frameworks such as LangGraph for specific domain tasks. - Collaborate on the development and fine-tuning of open-source and proprietary LLMs. - Create robust RESTful APIs with FastAPI to facilitate AI model deployment and integration. - Experiment and evaluate foundational models and neural network architectures. - Enhance model performance through data curation, retraining, and optimization. - Work with agentic workflows and prepare quick POCs. Qualifications Required: - 24 years of experience in machine learning and applied AI. - Proficiency in Python and AI/ML libraries like PyTorch, TensorFlow, Hugging Face Transformers. - Hands-on experience with agentic AI frameworks, preferably LangGraph. - Strong understanding of foundational models, neural networks, and deep learning principles. - Experience with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude). - Solid background in building and maintaining RESTful APIs using FastAPI. - Bachelors degree in computer science, engineering, or related field (masters degree preferred).