AI Engineer

Req Id: 85095

City: Krakow

State/Province: malopolskie

Posting Start Date: 9/1/25

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Work Mode: 3 days hybrid work mode from office

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

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.