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Tier-1 brand, metro location, mid-level experience and broad ML/LLM requirements elevate competition.
Specialized LLM/agentic frameworks and industrial ML expertise reduce cross-industry transferability.
Explicit 5+ years, mandatory LLM/agentic framework and ML deployment skills enforce strict screening.
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Lead design, build, and deployment of modular, reusable agentic AI services and multi-agent systems using tools like LangChain, LangGraph, and Google ADK.
Own full AI project lifecycle from translating business needs to maintaining enterprise-grade autonomous AI solutions in cloud environments.
Collaborate with IT, PRE, and business teams to ensure operational integration and success of AI/ML solutions within enterprise software architecture.
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-centric roles.
At least 3 years hands-on experience developing and deploying ML solutions using Python, PySpark, or Scala.
Minimum 1 year direct experience building with Large Language Models, LangChain, agentic AI frameworks, or Generative AI.
Proficiency with SQL and handling high-volume, diverse data sources.
Experienced in architecting and delivering agentic AI solutions targeting industrial real-world problems with large-scale data.
Capable of working end-to-end from complex problem formulation, through modeling to deployment in cloud environments.
Proficient communicator and technical lead able to translate complex AI concepts to technical teams and leadership while driving projects independently in fast-paced, ambiguous contexts.