Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a adaptable, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

An AI Engineer is a software professional who bridges the gap between AI research and practical application. Instead of training algorithms from scratch, they build and deploy functional AI products (like chatbots, AI agents, and automation tools) by integrating existing foundation models, building data pipelines, and optimizing for real-world production.

Who You Are

Core Responsibilities
- Model Integration: Select, configure, and fine-tune pre-trained foundation models.
- System Deployment:



Expose AI models as APIs or microservices to integrate them into existing web and mobile applications.
- Workflow Automation: Design agentic applications, RAG pipelines (Retrieval-Augmented Generation), and smart workflows.
- Data Management: Build data pipelines to ingest, clean, and format data for model inference.
- Performance Optimization: Monitor AI systems for accuracy and reliability, ensuring cost-effective and scalable operations.

Key Requirements & Skills
- Programming Languages: High proficiency in Python (with deep familiarity in JavaScript, Go, or Java depending on infrastructure).
- AI & ML Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, and vector databases.
- Cloud Infrastructure: Familiarity with cloud platforms like AWS (SageMaker), Google Cloud (Vertex AI), or Microsoft Azure.
- Software Engineering: Solid understanding of software development principles, version control, and API design.
- Educati

📌 AI Engineer (Perú)
🏢 Kyndryl
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