Job Description
Job 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