Artificial Intelligence Engineer

Job Summary:

Azure AI Engineer

Key Responsibilities:

• Design, develop, and deploy AI-powered applications using Azure services and modern orchestration tools.
• Build and maintain AI search experiences using

  Azure AI Search

  (formerly Cognitive Search) and integrate with vector-based retrieval systems.
• Implement serverless compute logic using

  Azure Functions

  for scalable and event-driven AI workflows.
• Work with

  Vector Databases

  (e.g., Azure Cosmos DB for vector search, Pinecone, Weaviate) to enable hybrid search and semantic retrieval.
• Utilize

  LangChain

  ,

  LangGraph

  , or

  Semantic Kernel

  to build intelligent agent workflows, autonomous pipelines, and knowledge-based AI systems.
• Integrate and experiment with

  Crew AI-like

  multi-agent coordination and reasoning systems to simulate advanced AI behaviors.
• Collaborate closely with Data Scientists, Product Managers, and Software Engineers to turn prototypes into production-ready applications.
• Maintain a strong focus on performance, reliability, and security in cloud-deployed AI systems.
• Stay current on advancements in AI, LLM orchestration, vector search, and cloud-native machine learning tools.

Required Qualifications:

• 5+ years of experience working with

  Microsoft Azure

  services, especially within the AI and Cognitive stack.
• Hands-on experience with

  Azure AI Search

  ,

  Azure Functions

  , and

  Azure OpenAI Service

  .
• Proficiency in Python or Node.js, with experience integrating AI wrappers like

  LangChain

  ,

  LangGraph

  , or

  Semantic Kernel

  .
• Strong understanding of

  Vector Databases

  and their role in semantic search and RAG (Retrieval Augmented Generation) pipelines.
• Experience building LLM-powered applications using structured frameworks and agents.
• Solid understanding of modern MLOps, DevOps practices, and cloud-native architectures.
• Strong problem-solving skills and ability to work in an agile, fast-paced environment.