Python AI Engineer
Posted Updated
Summary
Designs, builds, and deploys agentic AI systems and scalable AI workflows for enterprise clients using Python, LangGraph, LLMs, and multi-agent architectures. Machine learning/deep learning experience is optional. Based in Bangalore, serving Global 2000 clients.
About Ascendion
Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world's leading brands
- Solve complex problems – and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role
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.
Job Title: Python AI Engineer
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.
Location: Bangalore
Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!