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