Artificial Intelligence Research Scientist

1 day ago

Nagpur, Maharashtra, India beBeeResearch Full time ₹ 18,00,000 - ₹ 24,00,000

AI Researcher Role Description:

The ideal candidate will have a strong background in software development with a focus on AI/ML application development. They should be experienced in integrating and utilizing external Large Language Model (LLM) APIs, such as OpenAI, Anthropic, or Google.

Key Responsibilities:

  • Design and develop the core logic for AI Agents using FastAPI services.
  • Integrate with external LLM provider APIs, design effective prompts for diverse retail-specific tasks, and rigorously test these prompts.
  • Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.
  • Build and maintain scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment.
  • Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.

Required Skills & Qualifications:

  • 4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.
  • Demonstrable experience integrating and utilizing external LLM APIs.
  • Proven experience with Prompt Engineering techniques.
  • Strong Python programming skills.
  • Practical experience building and deploying RESTful APIs using FastAPI.
  • Experience designing and implementing application logic for AI-driven features or agents.
  • Understanding and practical experience with RAG concepts and vector databases.
  • Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.
  • Solid problem-solving skills and clear communication abilities.
  • Experience working effectively in an agile environment.
  • Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.

Preferred Qualifications:

  • Experience with frameworks like LangChain or LlamaIndex.
  • Experience with observability and debugging tools for LLM applications.
  • Experience with graph databases and query languages.
  • Experience optimizing API call performance or model inference.

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