Job DescriptionJob Responsibilities: Design and develop AI solutions using Python and LLMs Collaborate with stakeholders to understand business objectives and translate them into AI systems Implement and integrate AI solutions with APIs, databases, and backend services Evaluate and monitor the performance of AI models Optimize cost and efficiency of AI solutions Ensure compliance with enterprise and regulatory requirements Engage in client and stakeholder interactions to gather requirements and provide updates Job Requirements: MTech, MCA, BTech, BE, ME or equivalent qualification 4-6 years of hands-on experience with Python Practical experience working with Large Language Models (LLMs) Proficiency in agent-based AI workflows Solid understanding of prompt design, tool/function calling,
RAG and vector search concepts Experience integrating AI solutions with APIs, databases, and backend services Ability to think at both implementation and architecture levels Working knowledge of cloud platforms (AWS, Azure, or GCP) Familiarity with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Agno or similar Exposure to multi-agent systems Experience with LLM evaluation, monitoring, or guardrails Understanding of LLM cost management and optimisation Experience working in enterprise or regulated environments Client-facing or stakeholder interaction experience