Expert AI Architect

1 day ago

Noida, Uttar Pradesh, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 36,00,000
Job Title: Expert AI Architect

This is a pivotal role where you'll design and implement cutting-edge AI solutions, driving innovation at the forefront of artificial intelligence.

About the Position:

We are seeking an accomplished AI Architect with extensive experience in building and deploying intelligent systems. The ideal candidate will possess expertise in backend or frontend or full stack development, along with a proven track record in prompt engineering, AI-agent development, and multi-agent systems, and a passion for staying ahead in the rapidly evolving AI landscape.

  • Develop advanced AI architectures capable of handling complex tasks.
  • Lead the development of multi-agent systems that collaborate, reason, and learn.
  • Apply prompt engineering techniques to optimize LLM-based outputs for real-world applications.
  • Collaborate cross-functionally to integrate AI solutions into larger systems and workflows.
  • Perform backend/frontend/full stack development for sophisticated cloud applications.
  • Stay current with the latest developments in AI/ML, LLMs, agent frameworks, and research papers.
  • Rapidly prototype and iterate on new ideas and agent capabilities.
Requirements:
  • Demonstrated expertise in AI architecture development, including hands-on experience designing and implementing production-ready AI systems.
  • Strong knowledge of prompt engineering principles and best practices.
  • Experience in developing multi-agent systems and orchestration logic.
  • Proficiency in Python and popular AI frameworks (e.g., LangChain, OpenAI, Hugging Face, AutoGen, etc.).
  • Deep understanding of LLMs and how to adapt them to different tasks.
  • Proven track record of backend/frontend/full stack development.
  • Ability to work independently, solve ambiguous problems, and drive innovation.
Nice to Have:
  • Experience with reinforcement learning or fine-tuning large models.
  • Contributions to open-source AI/agent-related projects.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).

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