Job DescriptionJob Responsibilities:
N
- n
- Design and develop AI solutions using Python and LLMs N
- Collaborate with stakeholders to understand business objectives and translate them into AI systems N
- Implement and integrateAI solutions with APIs, databases, and backend services N
- Evaluate and monitor the performance of AI models N
- Optimize cost and efficiency of AI solutions N
- Ensure compliance with enterprise and regulatory requirements N
- Engage in client and stakeholder interactions to gather requirements and provide updates N

nJob Requirements:
N
- n
- MTech, MCA, BTech, BE, ME or equivalent qualification N
- 4-6 years of hands-on experience with Python N
- Practical experience working with Large Language Models (LLMs) N
- Proficiency in agent-based AI workflows N
- Solid understanding of prompt design,



tool/function calling, RAG and vector search concepts N
- Experience integrating AI solutions with APIs, databases, and backend services N
- Ability to think at both implementation and architecture levels N
- Working knowledge of cloud platforms (AWS, Azure, or GCP) N
- Familiarity with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Agno or similar N
- Exposure to multi-agentsystems N
- Experience with LLM evaluation, monitoring, or guardrails N
- Understanding of LLM cost management and optimisation N
- Experience working in enterprise or regulated environments N
- Client-facing or stakeholder interaction experience N

📌 Senior Software Engineer_agentic Ai (India)
🏢 Bebo Technologies
📍 India