~1h ago
New

AI Engineer

PeruPeru·Limamid
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

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.

Requirements Summary

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,

Technical Tools
Machine Learning EngineerData

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 flexible, supportive environment where your well-being is prioritized and your potential can thrive.

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.

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.
  • Education: A bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.


What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Location & Eligibility

Where is the job
Lima, Peru
On-site at the office
Who can apply
PE

Listing Details

First seen
October 1, 2026
Last seen
October 1, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
October 1, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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AI Engineer