- 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, effective, and testable Python code.
- (Optional) Apply data science techniques to train and fine-tune ML or deep learning models.
Required Skills:
- 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.
📌 Python AI Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru
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