Python AI Engineer

We are seeking a highly motivated AI Engineer with hands-on experience in developing and deploying agentic AI architectures. The ideal candidate is proficient in Python, has worked with frameworks like LangGraph, and understands the practical implementation of AI/ML solutions. Experience in machine learning or deep learning is a plus but not required.

Key Responsibilities:

• Design, build, and deploy agentic AI systems, leveraging modern frameworks.
• Develop and maintain scalable AI workflows using LangGraph and related tools.
• Collaborate with cross-functional teams to integrate AI agents into real-world applications.
• Write clean, efficient, and testable Python code.
• (Optional) Apply data science techniques to train and fine-tune ML or deep learning models.

Minimum Qualifications:

• Strong proficiency in Python and related libraries.
• Experience with agentic AI architectures and autonomous AI agents.
• Hands-on experience with LangGraph or similar orchestration frameworks.
• Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring.
• Familiarity with LLMs and multi-agent systems.

Skills

LLM, LLMs, LangGraph, Python