Advanced AI Researcher

1 day ago


Alleppey, Kerala, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,50,000
Job Title:

Senior AI Engineer

Description:

We are seeking an experienced Artificial Intelligence (AI) professional with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to develop and optimize cutting-edge 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.

Responsibilities:

  • 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, machine learning engineers, and software developers to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
  • Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.

 Requirements:

  • 8+ years experience in software development according to industry standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain.
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.
  • Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, 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:

  • Be part of shaping a brand-new offering that bridges offline retail with online presence.
  • Gain experience in scaling an operationally heavy, customer-focused tech service.
  • Competitive compensation, supportive team, and flexible work model.


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