Cloud AI Leader – Next-Generation Solutions

1 week ago

Vizag, Andhra Pradesh, India beBeeGenai Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a visionary leader to spearhead the development of next-generation AI initiatives. This role demands deep expertise in cloud-native architecture, Large Language Models (LLMs), and hands-on leadership in delivering scalable GenAI solutions on cloud platforms.

Key Responsibilities:
  • Lead the design, development, and deployment of GenAI projects leveraging LLMs on cloud platforms, primarily AWS.
  • 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 to deliver cutting-edge AI capabilities.
  • Utilize vector databases (ElasticSearch, Open Search, or similar) for embedding-based search and Retrieval-Augmented Generation (RAG).
  • Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers to align AI solutions with business goals.
  • Mentor and guide technical teams on best practices in GenAI development and cloud architecture.

Skills & Experience:

  • Proven experience integrating LLMs into real-world applications.
  • Strong programming skills in Python and experience with web frameworks such as FastAPI or Flask.
  • Expertise in cloud architecture, particularly AWS services including Lambda, SNS/SQS, Step Functions, and event-driven design patterns.
  • Deep knowledge of LLM APIs, with mandatory experience in Azure OpenAI; familiarity with other models like LLaMA is a plus.
  • Experience working with vector databases such as ElasticSearch, Open Search, or other vector search engines.
  • Proficiency in prompt engineering techniques including prompt versioning, optimization, and chain-of-thought design.
  • Familiarity with LLM frameworks such as LangChain and LlamaIndex.
  • Experience with embedding-based search and Retrieval-Augmented Generation (RAG) methodologies.
  • Strong skills in model evaluation, including output analysis, performance tuning, and quality benchmarking.
  • Excellent leadership, communication, and project management skills.

Bonus Points: Familiarity with DevOps principles and experience with CI/CD pipelines is highly valued.

About Us: We're a leading organization in the AI space, dedicated to innovation and excellence. If you're passionate about AI and looking for a challenging role, we'd love to hear from you

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