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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Bhavitha Tech, CMMi Level 3 Companyranchi, India
11 days ago
Job description

Role Overview :

We’re looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications. The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.g., LoRA), and model quantization techniques for deployment efficiency.

Key Responsibilities :

  • Design, implement, and optimize end-to-end LLM-based solutions for real-world applications.
  • Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques.
  • Fine-tune pre-trained language models using LoRA or similar methods.
  • Apply quantization and optimization strategies to deploy models efficiently on constrained environments.
  • Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems.
  • Monitor, evaluate, and continuously improve model performance and reliability.

Required Skills :

  • 3–5 years of experience in AI / ML development or applied NLP.
  • Proficient in Python and frameworks such as PyTorch or TensorFlow.
  • Strong understanding of LLM architectures (e.g., GPT, Llama, Falcon, Mistral).
  • Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups).
  • Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar).
  • Familiarity with vector databases like FAISS, Pinecone, or ChromaDB.
  • Good understanding of prompt engineering and evaluation techniques.
  • Cloud deployment experience (AWS, Azure, or GCP) is an advantage.
  • Preferred Skills :

  • Exposure to open‑source models and fine-tuning pipelines.
  • Experience integrating AI models into web or enterprise products.
  • Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).
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