AI Developer_Python_3 Yrs Exp_Gurgaon

Key Responsibilities

• 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.