Senior Python Developer – AI/ML

Infosys Pontoon•Irvine, CA
•Hybrid

About The Position

The Senior Python Developer will work on AI/ML-related development in a hybrid role based in Irvine, California. The position is listed for a 12-month duration. The candidate will use strong hands-on Python and SQL coding skills, work with agentic AI capabilities, and handle large datasets using data-wrangling and processing tools. The role also involves cloud ecosystems, Docker and containerization, and may include building resilient RESTful APIs and working with Retrieval-Augmented Generation systems. The candidate is expected to demonstrate ownership and accountability for deliverables.

Requirements

  • At least 7 years of experience overall, as stated in the posting.
  • At least 5 years of experience with Python and SQL.
  • Strong hands-on coding experience.
  • Experience leveraging agentic AI capabilities.
  • Strong problem-solving, critical-thinking, and analytical skills.
  • Experience working in a cloud ecosystem such as AWS, GCP, or Azure.
  • Hands-on experience with Docker and containerization.
  • Experience wrangling and manipulating large datasets using Pandas or similar libraries.
  • Experience optimizing data processing using multiprocessing and distributed computing tools such as PySpark or Databricks.
  • Hands-on experience with agentic AI workflows and understanding of the agentic AI lifecycle.
  • A sense of ownership and accountability for deliverables.

Nice To Haves

  • Experience building resilient RESTful APIs in Python using FastAPI, Flask, or similar frameworks.
  • Experience with Retrieval-Augmented Generation (RAG) systems.

Responsibilities

  • Develop with Python and SQL using strong hands-on coding skills.
  • Leverage agentic AI capabilities and work with agentic AI workflows and lifecycle concepts.
  • Wrangle and manipulate large datasets using Pandas or similar libraries.
  • Optimize data processing with multiprocessing and distributed computing tools such as PySpark and Databricks.
  • Work in cloud ecosystems such as AWS, GCP, or Azure.
  • Use Docker and containerization.
  • Demonstrate ownership and accountability for deliverables.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service