BuzzBoard

GenAI – LLMs and Applied Machine Learning

Remote - Full Time

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
Apply: GenAI – LLMs and Applied Machine Learning
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Describe your experience working with modern LLMs like OpenAI, Gemini, or Claude. What real-world use cases have you implemented using these models?*
Explain your experience with LangChain. How have you used them in your projects?*
How do you design prompts for LLMs? Share your approach to improving accuracy and consistency.*
Explain AI project you built end-to-end. What was your contribution?*
How do you evaluate the performance of LLM outputs? What metrics or methods do you use?*
What experience do you have with NLP fundamentals such as tokenization, NER, summarization, or embeddings?*
Have you worked with vector databases? Which one(s) and how did you use them?*
What is your total year of experience in GEN AI?*
What is your current Annual CTC?*
What is your expected Annual CTC?*
What is your Notice Period?*
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