Senior AI Applications Developer

1 day ago

Ghaziabad, Uttar Pradesh, India beBeeAIEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description

We're seeking an experienced AI Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to develop and optimize AI-driven applications. The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating LLMs with RAG architectures to enhance the efficiency and accuracy of AI-powered solutions.

  • Design, develop, and optimize AI solutions using LLMs and RAG frameworks.
  • Implement and fine-tune models to improve response relevance and contextual accuracy.
  • Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Work with vector databases to enhance retrieval capabilities.
  • Integrate AI models with enterprise applications and APIs.
  • Optimize model inference for performance and scalability.
  • Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
Required Skills and Qualifications

To succeed in this role, you'll need:

  • 8+ years of experience in software development according to industry standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers or OpenAI API;
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies;
  • Hands-on experience with vector databases such as FAISS or Pinecone;
  • Solid understanding of NLP, deep learning, and transformer architectures;
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, etc.);
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows;
  • Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments;
  • Strong problem-solving and debugging skills;
  • Excellent communication and teamwork abilities;
  • Bachelor's or Master's degree in computer science, AI, Machine Learning, or a related field.
Benefits

This is a fantastic opportunity to be part of a pioneering team shaping a brand-new offering that bridges offline retail with online presence. You'll gain experience in scaling an operationally heavy, customer-focused tech service. Enjoy competitive compensation, a supportive team, and a flexible work model.

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