Unlocking AI Potential: A Career in AI Engineering

6 days ago

Hubli, Karnataka, India beBeeEngineering Full time US$ 1,20,000 - US$ 1,80,000

As a seasoned AI Engineering Specialist, you will be responsible for designing and implementing scalable REST APIs using Python, integrating AI services into existing infrastructure, building and maintaining large language models (LLMs), and developing autonomous AI agents using OpenAI Functions or custom orchestration solutions.

The ideal candidate should have expertise in text generation, summarization, and conversational AI, as well as knowledge of generative AI models. Experience in designing efficient data access patterns for AI workloads and implementing retrieval-augmented generation using Azure AI Search, AWS OpenSearch, or other vector databases is essential.

A solid understanding of structured (SQL), graph (CosmosDB), and unstructured (Elasticsearch) databases is also required. The ability to design and implement data ingestion and transformation pipelines using Databricks, Azure Data Factory, or equivalent tools is necessary.

Additionally, the candidate should have hands-on experience with intent detection models and natural language understanding (NLU) components for conversational AI applications.

Responsibilities

  • Design and implement scalable REST APIs using Python.
  • Integrate AI services into existing infrastructure.
  • Build and maintain large language models (LLMs).
  • Develop autonomous AI agents using OpenAI Functions or custom orchestration solutions.
  • Apply generative AI models for text generation, summarization, and conversational AI.
  • Design efficient data access patterns for AI workloads.
  • Implement retrieval-augmented generation using Azure AI Search, AWS OpenSearch, or other vector databases.
  • Build and manage data ingestion and transformation pipelines using Databricks, Azure Data Factory, or equivalent tools.
  • Develop intent detection models and NLU components for conversational AI applications.

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