AI Engineer

Req Id: 85096

City: Krakow

State/Province: malopolskie

Posting Start Date: 8/6/25

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

Job Title: AI Engineer

With 900 employees in Poland supporting over 45 clients, we leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. It is the freedom provided to every individual at Wipro to learn, grow, and create a career path that makes us an organization of opportunities beyond boundaries of region, age, gender, ability, and routine. We invite you to be a part of this experience!

Work Mode: 3 days hybrid work mode from office

AI Engineer : JD

• 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

Deliver
No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation

Mandatory Skills: Python for Data Science .