Python AI Engineer

Ascendion; Bengaluru; In loco; INR 1.000.000 - 2.200.000; Tempo pieno

Descrizione del lavoro

Ascendion in Bengaluru is seeking an AI Engineer to design, build, and deploy agentic AI systems. You will write clean Python code and work with LangGraph to orchestrate AI agents in real-world applications.

The role touches deployment, monitoring, and scalable AI workflows; knowledge of LLMs and multi-agent systems is a plus, and collaboration with cross-functional teams is expected to translate AI into tangible products.

Competenze

• Proficient in Python with AI frameworks.
• Experience with agentic AI architectures is preferred.
• Understanding AI lifecycle from prompt engineering to deployment.

Mansioni

• 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.
• Apply data science techniques to train and fine-tune ML or DL models (optional).

Conoscenze

Python

LangGraph

Agentic AI

Autonomous agents

AI lifecycle

LLMs

Multi-agent systems

Deployment

Monitoring

Strumenti

LangGraph

Descrizione del lavoro

• 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.

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.