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