Generative AI Engineer

2 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Develop and fine-tune LLMs for classification, NLP, and generative AI use cases
  • Build RAG pipelines with vector databases and implement prompt engineering strategies
  • Conduct data preprocessing for LLM training including tokenization and embedding generation
  • Design custom chatbots, text generation, and document analysis solutions
  • Implement LLM evaluation metrics (BLEU, ROUGE, perplexity) and human feedback loops
  • Deploy conversational AI and content generation models in production

Technical Requirements:

  • 2 years hands-on LLM development (GPT, BERT, T5, Llama, Claude)
  • Proficient in Transformers, Hugging Face, LangChain, OpenAI API
  • Experience with vector databases (Pinecone, Weaviate, ChromaDB) and semantic search
  • Strong Python, SQL, and deep learning (PyTorch, TensorFlow)
  • Knowledge of fine-tuning techniques (LoRA, QLoRA, PEFT) and model quantization
  • Understanding of prompt engineering, chain-of-thought, and few-shot learning
  • Familiarity with MLOps for LLMs (model versioning, A/B testing, monitoring) -- GOOD TO HAVE

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