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Mid-level AI specialization attracts applicants, but small local employer and niche agentic LLM skills moderate competition.
Specialized LLM, agentic AI, and vector search expertise limits cross-industry transferability.
Explicit 4–6 years, LLM/agentic AI, cloud and enterprise experience enforce strict candidate filters.
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Design and develop AI solutions leveraging Python and Large Language Models (LLMs).
Implement and integrate AI solutions with APIs, databases, backend services, ensuring enterprise and regulatory compliance.
Collaborate with stakeholders for requirements gathering, performance evaluation, cost optimization, and client interactions.
4-6 years hands-on experience with Python.
Practical experience with Large Language Models (LLMs) and agent-based AI workflows.
Bachelor's or master's degree in MTech, MCA, BTech, BE, ME, or equivalent.
Working knowledge of cloud platforms (AWS, Azure, or GCP) and experience integrating AI with APIs/databases/backend services.
Experienced with prompt design, retrieval-augmented generation (RAG), vector search, and multi-agent AI systems.
Familiar with AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Agno.
Demonstrated capability in LLM evaluation, monitoring, guardrails, and cost optimization in enterprise or regulated environments with client-facing experience.