Global IT Combine

1 week ago


Gurugram, India Global IT Combine Full time

Description :- Design, build, and deploy LLM-based applications using Python and Azure OpenAI Services.- Develop Retrieval-Augmented Generation (RAG) pipelines with vector databases like Azure Cognitive Search, Pinecone, or FAISS.- Create intelligent agents using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.- Apply advanced prompting techniques, including: - Chain-of-Thought (CoT). - Tree-of-Thoughts (ToT). - ReAct, Self-Consistency, and Toolformer-style prompting.- Implement reasoning strategies for multi-step decision-making and task decomposition.- Orchestrate agentic AI workflows, integrating external tools, APIs, and business logic.- Deploy scalable LLM services with Azure Functions, Docker, and serverless architectures.- Monitor and optimize model performance, latency, and reliability.Must-Have Skills :- 2 4 years of hands-on Python development experience.- Proven integration of Azure OpenAI (GPT models) into real-world applications.- Strong understanding of LLMs, embeddings, vector search, and RAG architectures.- Experience with at least one LLM orchestration framework: LangChain, LlamaIndex, or Semantic Kernel.- Knowledge of structured prompting techniques and LLM reasoning models.- Ability to integrate external APIs, cloud tools, and business data into LLM pipelines.- Familiarity with Azure Functions, Docker, and cloud-native development.- Excellent debugging and performance optimization skills.Good-to-Have Skills :- Experience with multi-agent systems, agentic reasoning, or cognitive architectures.- Background in building AI developer tools, automation bots, or assistants.- Exposure to LLMOps practices: versioning, prompt evaluation, monitoring.- Familiarity with traditional NLP tasks: summarization, classification, Q&A.- Experimental prompting experience: role prompting, reflection-based refinement, zero-shot CoT, etc. (ref:hirist.tech)



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