Advanced AI Developer

18 hours ago

Thiruvananthapuram, Kerala, India beBeeAI Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Artificial Intelligence Engineers play a key role in designing and developing AI-driven applications that integrate Large Language Models into our platform. They focus on architecting the logic for AI Agents within e-commerce and retail data orchestration pipelines using Python and FastAPI.

This role offers potential growth into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are crucial. You will work closely with cross-functional teams to deliver AI features and stay updated on LLM advancements.

Key Responsibilities:

  • Design, develop, test, and maintain core logic for AI Agents within FastAPI services.
  • Integrate external LLM provider APIs, design, implement, and rigorously test effective prompts for diverse retail-specific tasks.
  • Implement and optimize Retrieval-Augmented Generation 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 and containerization for application deployment.
  • Solid problem-solving skills and clear communication abilities.

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 with MLOps practices, applicable to both current application monitoring and future model lifecycle management.

As an Artificial Intelligence Engineer at our company, you will be responsible for leading the development of AI-driven applications that leverage Large Language Models. This role requires strong technical skills, including proficiency in Python, experience with FastAPI, and knowledge of Machine Learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Additionally, you should have experience working with cross-functional teams and delivering high-quality results under tight deadlines.

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