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GenAI – LLMs and Applied Machine Learning

Roles & Responsibilities

  • Proficiency in Python with strong coding skills
  • Understanding of ML and LLM fundamentals
  • Hands-on experience with OpenAI, Gemini, Claude, or similar LLMs
  • Experience with LangChain, LLamaIndex, or similar LLM app frameworks

Requirements:

  • Build and deploy real-world AI features using modern LLMs and cloud platforms
  • Develop LLM-based applications with LangChain and related frameworks (e.g., LLamaIndex)
  • Design prompts, chaining logic, and RAG pipelines; optimize for performance and accuracy
  • Integrate frontend/backend components for LLM apps (e.g., Streamlit, FastAPI) and work with vector databases (e.g., Pinecone, FAISS, Chroma)

Job description

Job Title: GenAI – LLMs & Applied Machine Learning

Description:

We are looking for a Machine Learning expert with a strong interest in building real-world applications using modern AI models like OpenAI, Gemini, Claude, etc. You’ll help us implement AI features using LLM frameworks like LangChain and work on deploying these solutions through cloud platforms.

Experience: 1+ Years


Required Skills:

  • Good coding skills in Python
  • Understanding of machine learning and LLM fundamentals
  • Hands-on experience with OpenAI, Gemini, Claude, or similar LLMs
  • Experience working with LangChain, LLamaIndex, or similar LLM app frameworks
  • Knowledge of Natural Language Processing (NLP) concepts such as tokenization, named entity recognition, summarization, etc.
  • Experience with prompt design, chaining logic, and RAG pipelines
  • Good knowledge of vector databases (e.g., Pinecone, FAISS, Chroma) is a plus
  • Built LLM-based projects or chatbots using LangChain or OpenAI tools
  • Experience with frontend/backend integration of LLM apps (e.g., Streamlit, FastAPI)
  • Familiarity with cloud tools like Google Cloud and AWS
  • Exposure to prompt engineering techniques and evaluation metrics
  • Familiarity with tools like Git, Jupyter, and version control systems
  • Strong curiosity and willingness to explore and learn new AI tools

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