Pioneering AI Developer

2 days ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 1,29,09,600 - ₹ 1,54,22,000

As a pioneering Artificial Intelligence Engineer, you will spearhead key initiatives under the Generative AI Center of Excellence (CoE). Focusing on cutting-edge trends and innovative proof-of-concepts (PoCs), you will design solutions and provide architecture recommendations for diverse business use cases using Generative AI.

About this Role

This is an exceptional opportunity to work with a leading organization in the software giant space. You will collaborate with cross-functional teams to develop proposals and present AI-driven solutions to clients. Your expertise will be invaluable in driving technical excellence within the team and ensuring seamless alignment with organizational goals.

Responsibilities
  • Drive key initiatives under the Generative AI CoE focusing on cutting-edge trends and innovative proof-of-concepts (PoCs).
  • Design solutions and provide architecture recommendations for diverse business use cases using Generative AI.
  • Collaborate with cross-functional teams to develop proposals and present AI-driven solutions to clients.
  • Work across multiple Generative AI models and cloud platforms to deliver scalable applications.
  • Lead a team of developers, mentor junior engineers, and drive technical excellence within the team.
  • Collaborate with business and technical stakeholders to align development efforts with organizational goals.
Requirements

To succeed in this role, you will need to possess:

  • Extensive experience with data engineering and proficiency in implementing projects in Digital Engineering or Data Analytics.
  • A strong understanding of programming skills and proficiency in at least one major programming/scripting language used in Generative AI orchestration such as Python or PySpark or Java.
  • The ability to build API-based scalable solutions and debug & troubleshoot software or design issues.
  • Hands-on exposure to integrating popular LLMs (Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.
  • A thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS.
  • Basic data engineering skills to load structured & unstructured data from source systems to target data stores.
  • Hands-on exposure to using cloud (Azure/GCP/AWS) services for storage, serverless-logic, search, transcription, and chat.
  • Experience with Agentic AI Framework, RAG.

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