Job Description

Work Mode: 3 days hybrid work mode from office

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Requirements: 

•Experience in Python

•Experience in AI application development, focusing on cloud-based AI model integration, deployment, and optimization.

•Proficiency in programming languages such as Python, Java, and experience with AI/ML frameworks like Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow etc.

•Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search for developing and deploying AI applications at scale.

•Proficiency in advanced AI architecture patterns, including Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, A2A especially in an Azure environment.

•Experience in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration.

•Experience in evaluating model output and optimization

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Responsibilities:

1. AI Application Development

   • Design, develop, and deploy AI-powered applications with a focus on cloud-native solutions.
   • Integrate and optimize AI models within scalable cloud environments, particularly using Azure services.

2. Programming & Framework Expertise

   • Write clean, efficient, and maintainable code in Python and Java.
   • Utilize AI/ML frameworks such as Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, and TensorFlow to build intelligent systems.

3. Cloud-Based AI Integration

   • Leverage Azure OpenAI and Azure AI Search to build and deploy AI solutions at scale.
   • Implement and manage cloud resources to support AI workloads and ensure high availability.

4. Advanced AI Architecture Implementation

   • Apply architectural patterns like Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, and A2A in AI solution design.
   • Ensure alignment with best practices for performance, scalability, and maintainability in Azure environments.

5. Prompt & Context Engineering

   • Develop and refine prompts for optimal model performance.
   • Engineer context-aware systems using vector databases, embedding strategies, and chunking techniques.

6. Real-Time Data Integration

   • Build pipelines for real-time data ingestion and processing to support dynamic AI applications.

7. Model Evaluation & Optimization

   • Evaluate AI model outputs for accuracy, relevance, and performance.
   • Continuously optimize models based on feedback, metrics, and evolving business needs.

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Equal Opportunity Employer:

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, marital status, age, ethnic and national origin, sexual and political orientation and disability status, or any other characteristic protected by law.

Internal Reporting and Whistleblower Protection:

Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Candidates can submit internal reports via email to ombuds.person@wipro.com, through the Internet at www.wiproombuds.com, or by post/courier to Wipro's registered office.