Artificial Intelligence Engineer

Key Responsibilities:

• Design, develop, and deploy

  AI agents powered by LLMs

  (e.g., GPT-4, Claude, Gemini) for internal tools, operational pipelines, and customer interactions.
• Integrate AI agents with APIs, databases, and automation frameworks to streamline business workflows.
• Build reusable

  prompt chains, RAG pipelines, and multi-agent workflows

  for decision-making and insight generation.
• Utilize frameworks such as

  LangChain, LangGraph, AutoGen, or Semantic Kernel

  for managing complex AI architectures.
• Fine-tune or instruct LLMs for specific business domains and real estate use cases.
• Deploy and manage AI models on cloud platforms like AWS, Azure, or Salesforce.

Qualifications & Skills:

• Strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama.
• Hands-on experience with agentic frameworks

  (LangChain, LangGraph, AutoGen, etc.)

• Proficient in Python and relevant AI libraries (e. g., HuggingFace, Transformers, LangChain).
• Solid understanding of prompt engineering and retrieval-augmented generation (RAG).
• Experience in fine-tuning LLMs using proprietary data, and integrating them through APIs and data pipelines.