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Job Description
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.
Skills
AI AutomationAgentic FrameworksLarge Language ModelsAutoGenLangchainLanggraphSemanticRAGPythonSalesforceCloudIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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