Senior Ai Engineer: Genai, Llms & Global Cloud Projects

Primeit España

Barcelona

Hybrid

EUR 90,000 - 120,000

Full time

3 days ago
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Job summary

Kyndryl is seeking an Senior AI Engineer to design and build AI-powered applications using LLMs and RAG-based approaches. You will work on AI agent workflows, integration with enterprise systems, and production-ready services across cloud environments.

The role requires hands-on Python development and strong knowledge of AI models, with fluency in English and Spanish. A partially remote, hybrid setup in Madrid/Barcelona, Spain is offered.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Telecommunications, or related field.
  • 4+ years of experience in software engineering, data science, ML, or AI.
  • Hands-on experience with Python development.
  • Experience with Large Language Models (LLMs) and Generative AI solutions.
  • Experience with RAG-based applications.
  • Strong analytical and problem-solving skills.
  • Professional level of English and Spanish.

Responsibilities

  • Design and build AI-powered applications using LLMs.
  • Design and implement RAG solutions.
  • Build AI agents and multi-agent workflows.
  • Develop scalable services and APIs for AI use cases.
  • Participate in end-to-end lifecycle from prototyping to production.

Skills

Python development
LLMs and Generative AI
Problem solving
English and Spanish

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field

Tools

LangGraph
CrewAI
AutoGen
Semantic Kernel

Job description

Senior AI Engineer – Kyndryl

Partially Remote; Madrid, Spain; Barcelona, Spain; Full time; R-69650

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.

Key Responsibilities:

  • Design and build AI‑powered applications using Large Language Models (LLMs).
  • Design and implement Retrieval‑Augmented Generation (RAG) solutions.
  • Build and integrate AI agents and multi‑agent workflows.
  • Develop scalable services and APIs to support AI use cases.
  • Participate in the end‑to‑end lifecycle of AI projects from prototyping to production deployment.

AI Innovation and Experimentation:

  • Evaluate new models, frameworks, and AI technologies.
  • Contribute to Proofs of Concept (PoCs) and innovation initiatives.
  • Benchmark AI models and assess solution performance, cost, and scalability.
  • Explore emerging trends in Agentic AI and Generative AI.

Enterprise Integration:

  • Integrate AI solutions with enterprise applications, databases, and business processes.
  • Collaborate with architects, platform engineers, and cloud specialists.
  • Support deployment and monitoring activities across cloud environments.

Required Qualifications:

  • Bachelor's Degree in Computer Science, Software Engineering, Data Science, Mathematics, Telecommunications, or a related field.
  • 4+ years of experience in software engineering, data science, machine learning, or artificial intelligence.
  • Hands‑on experience with Python development.
  • Experience working with Large Language Models (LLMs) and Generative AI solutions.
  • Practical experience developing or implementing RAG‑based applications.
  • Strong analytical and problem‑solving skills.
  • Professional level of English and Spanish.

Preferred Qualifications:

  • Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
  • Experience with vector databases and embeddings.
  • Knowledge of MLOps or LLMOps practices.
  • Experience deploying AI solutions in production environments.

Being You

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.

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 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.

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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