AI Lead

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AI Lead
FTE
Onshore
Experience :
8+ years

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Job Description:
We are seeking a skilled and experienced AI Lead with a strong background in AI development, Azure services, and OpenAI technologies. The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role will lead the design, development, and optimization of AI-powered chatbots and solutions for enterprise environments.
Roles and Responsibilities:
  • Lead the design and deployment of RAG-based AI chatbots leveraging Azure OpenAI, Azure Cognitive Search, and vector databases.
  • Architect and develop APIs using Python (FastAPI), integrating OpenAI, Azure AI Services, and external systems.
  • Deliver scalable AI applications using Azure Functions, Azure Kubernetes Services (AKS), and Cognitive Services.
  • Create rapid prototypes and Proof-of-Concepts (POCs) with full technical documentation.
  • Continuously monitor and optimize AI workloads for performance, scalability, and cost-efficiency.
  • Collaborate with cross-functional teams to integrate AI components into enterprise applications.
  • Provide technical leadership, mentorship, and code reviews within the AI development team.
Qualification & skills:
  • 8–10 years of overall software development experience with 2–3 years working on OpenAI and Retrieval-Augmented Generation (RAG) architectures.
  • Proficiency in Python and FastAPI (mandatory); C# is a plus.
  • Extensive hands-on experience with Azure OpenAI, Azure Cognitive Search, Azure Bot Services, and Azure Machine Learning.
  • Knowledge of vector databases like Pinecone, FAISS, or Weaviate.
  • Experience with Azure SQL, CosmosDB, and scalable backend architecture.
  • Familiarity with LangChain, LLamaIndex, and Microsoft Semantic Kernel (preferred).
  • Solid grasp of DevOps practices using Azure DevOps, Docker, and Kubernetes.
  • Strong understanding of secure API integration (OAuth, JWT).
  • Experience with Salesforce and Agentforce integrations.
  • Demonstrated ability to translate business needs into technical AI solutions and communicate clearly with stakeholders.