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Tier-1 brand, metro location, mid-level ML role with popular LLM skills drives high competition.
Specialized agentic LLM and ML skills favor AI backgrounds, moderately transferable across industries.
Explicit multi-year requirements plus mandatory LLM, ML, and data engineering skills create strict screening filters.
Lead design and implementation of scalable, modular AI agent architecture using LangChain, LangGraph, and Google ADK.
Develop, deploy, and maintain enterprise-grade autonomous AI agent solutions to automate complex business workflows.
Collaborate cross-functionally to integrate AI/ML solutions in cloud environments and translate business needs into technical deliverables.
Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics, Engineering, or related field.
Minimum 5 years professional experience in software engineering, machine learning, or data-focused roles.
At least 3 years experience developing and deploying ML solutions using Python, PySpark, or Scala.
Minimum 1 year hands-on experience with Large Language Models (LLMs), agentic frameworks (e.g., LangChain), or generative AI technologies.
Experienced in applying ML/AI to solve industrial-scale problems with large, complex data sets.
Skilled at leading AI projects end-to-end in cloud and agile environments including integration and deployment.
Able to clearly communicate complex AI concepts and technical solutions to both technical and leadership audiences.