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)
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