Lead Large Language Model Developer

5 days ago

Agra, Uttar Pradesh, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

AI Engineer Job Description

Our organization seeks a seasoned AI developer with expertise in implementing large language models (LLMs) and building AI-driven applications.

The successful candidate will be responsible for designing and developing AI agents within our platform, focusing initially on integrating external LLM APIs via sophisticated prompt engineering and RAG techniques.

Key responsibilities include:

  • Designing, developing, testing, and maintaining the core logic for AI agents within services built using Python + FastAPI
  • Integrating with external LLM provider APIs, designing, implementing, and rigorously testing effective prompts for diverse tasks
  • Implementing and optimizing retrieval-augmented generation patterns using vector databases to provide relevant context to LLM API calls made by agents
  • Building and maintaining scalable microservices that host AI agent logic and handle interactions with LLMs and other components in a containerized environment
  • Preparing and preprocessing data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks
  • Collaborating with cross-functional teams to deliver AI features and staying updated on LLM advancements

Required skills and qualifications include:

  • 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
  • Experience working effectively in an agile environment

Preferred qualifications include experience with frameworks like LangChain or LlamaIndex, observability and debugging tools, graph databases, and MLOps practices.

Benefits include competitive salary, opportunities for professional growth, and collaboration with experienced professionals.

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