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Generative AI Engineer - LLM
Generative AI Engineer - LLMXohani Solutions Private Limited • Bangalore
Generative AI Engineer - LLM

Generative AI Engineer - LLM

Xohani Solutions Private Limited • Bangalore
18 days ago
Job description

About the Role :

We are seeking a skilled Generative AI Engineer to design, build, and deploy cutting-edge AI solutions leveraging Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI frameworks.

The ideal candidate will have a strong understanding of prompt engineering, model fine-tuning, and API integrations with GenAI tools, with additional knowledge in AI / ML algorithms being a plus.

Key Responsibilities :

  • Design and develop Generative AI solutions using LLMs such as GPT, Claude, Gemini, or LLaMA.
  • Work with NLP pipelines for tasks such as summarization, sentiment analysis, entity extraction, and text generation.
  • Implement fine-tuning, prompt optimization, and model evaluation for custom AI applications.
  • Integrate and deploy AI models via APIs, SDKs, or microservices for production environments.
  • Collaborate with data scientists, ML engineers, and product teams to build AI-driven applications and prototypes.
  • Research and stay updated on the latest advancements in Generative AI, LLMs, and transformer architectures.
  • Contribute to model performance improvements through data preprocessing, embeddings, and hyperparameter tuning.
  • Document architectures, model behaviors, and experiment results for reproducibility and scalability.

Required Skills & Qualifications :

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Hands-on experience with Generative AI tools and frameworks (OpenAI, LangChain, Hugging Face, Vertex AI, etc.).
  • Strong expertise in LLMs (GPT, BERT, LLaMA, Falcon, etc.) and NLP techniques.
  • Proficiency in Python and libraries like Transformers, PyTorch, TensorFlow, or spaCy.
  • Experience in building prompt pipelines, RAG (Retrieval-Augmented Generation), or chatbot solutions.
  • Familiarity with vector databases (FAISS, Pinecone, Chroma, etc.) for contextual data retrieval.
  • Strong understanding of data preprocessing, tokenization, and embedding models.
  • Good to Have :

  • Experience in Machine Learning and Deep Learning model development and deployment.
  • Knowledge of cloud-based AI platforms (AWS Sagemaker, Azure AI, Google Cloud Vertex AI).
  • Understanding of MLOps, CI / CD pipelines, and model monitoring.
  • Exposure to multimodal models (text-to-image, text-to-audio, etc.).
  • (ref : hirist.tech)

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