Cloud Native Architectural Expert

1 day ago

Agra, Uttar Pradesh, India beBeeGenailead Full time US$ 1,80,000 - US$ 2,20,000
Technical Project Lead/Architect

We are seeking a visionary Technical Project Lead/Architect to spearhead our next-generation AI initiatives on cloud platforms, primarily AWS.

This role demands deep expertise in Large Language Models (LLMs) integration, cloud-native architecture, and hands-on leadership in delivering scalable GenAI solutions.

Key Responsibilities:

  • Design, develop, and deploy GenAI projects leveraging Large Language Models (LLMs) on cloud platforms.
  • Architect and implement scalable, event-driven cloud-native solutions using AWS Lambda, SNS/SQS, Step Functions, and related services.
  • Drive prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance.
  • Oversee fine-tuning, embeddings, and conversational flow development to build intelligent, context-aware AI applications.
  • Integrate and manage LLM APIs such as Azure OpenAI and other emerging models.
  • Utilize vector databases for embedding-based search and Retrieval-Augmented Generation (RAG).
  • Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking.
  • Collaborate with cross-functional teams to align AI solutions with business goals.
  • Mentor technical teams on best practices in GenAI development and cloud architecture.
  • Stay up-to-date with the latest advancements in AI, cloud technologies, and LLM frameworks.
Required Skills & Experience
  • Hands-on experience integrating Large Language Models (LLMs) into real-world applications.
  • Strong programming skills in Python and experience with web frameworks like FastAPI or Flask.
  • Expertise in cloud architecture, particularly AWS services.
  • Deep knowledge of LLM APIs, with mandatory experience in Azure OpenAI.
  • Experience working with vector databases and prompt engineering techniques.
  • Familiarity with LLM frameworks and embedding-based search methodologies.
  • Strong skills in model evaluation and leadership, communication, and project management.

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