Job Description
About the Role:
We are seeking a skilled and motivated AI/ML engineer to join our team in building intelligent, agentic systems. The ideal candidate will have hands-on experience with agent frameworks—particularly LangGraph—and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering.
Responsibilities:
-
Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks.
-
Collaborate on the development and fine-tuning of both open-source and proprietary LLMs.
-
Develop robust RESTful APIs using frameworks such as FastAPI to support AI model deployment and integration.
-
Conduct experimentation and evaluation of foundational models and neural network architectures.
-
Maintain and enhance model performance through data curation, retraining, and optimization.
-
Should be able to work with agentic workflows and prepare quick POCs.
Requirements:
-
2–4 years of professional experience in machine learning and applied AI
-
Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
-
Hands-on experience with agentic AI frameworks (LangGraph preferred)
-
Strong understanding of foundational models, neural networks, and deep learning principles
-
Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude)
-
Solid experience in building and maintaining RESTful APIs using FastAPI.
-
Bachelor’s degree in computer science, engineering, or a related field (master’s preferred)
