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Hot GenAI role, mid-level range, broad required skillset, and metro demand increases competition.
Role requires specialized GenAI, LLM, and vector-store expertise, limiting cross-industry transferability.
Extensive mandatory GenAI/LLM frameworks, toolchain, and years requirement enforce strict shortlisting.
Develop and build Generative AI applications leveraging Large Language Models (LLMs) and AI agent frameworks.
Integrate AI agents with external tools, APIs, databases, and enterprise services to enable multi-agent workflows and advanced reasoning.
Optimize AI application performance including prompt engineering, hallucination detection, and AI-generated code validation and security.
2–7 years of hands-on experience in AI/ML or Generative AI software development.
Strong programming skills in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Experience with LLMs (e.g., GPT, Azure Open AI) and frameworks like LangChain, LangGraph, or LlamaIndex.
Work Experience Required: 2–7 years of relevant AI/ML development experience.
Experienced developer skilled in building and optimizing Generative AI and AI agent-based applications in an Agile SDLC environment.
Practitioner of prompt engineering, AI-assisted coding, and capable of securing and validating AI-generated code.
Familiar with advanced AI concepts including Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.