AI Agent Developer at Kyndryl Canada Limited

Hoofddorp, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI Agents, LLM APIs, LangChain, LangGraph, AutoGen, CrewAI, RAG Architectures, Vector Databases, Prompt Optimization, Docker, Kubernetes, Azure, FastAPI, Microservices Architecture, LLM Evaluation

Industry

IT Services and IT Consulting

Description

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 flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role We are looking for a AI Engineer to design, build, and operate production-grade AI agents and large language model (LLM) applications that solve real enterprise problems at scale. In this role, you will work at the intersection of advanced AI research and practical engineering, taking systems from early experimentation through to reliable, secure, and observable production deployments. You will play a key role in shaping our agentic AI architecture, setting technical standards, and mentoring engineers as we build intelligent systems with planning, reasoning, memory, and tool‑use capabilities. What You’ll Do - Design and build production-ready AI agents with advanced planning, reasoning, and autonomous tool‑use capabilities to support complex business workflows. - Architect stateful, multi-step agent workflows using modern orchestration frameworks such as LangGraph or AutoGen, ensuring scalability, reliability, and clarity of execution. - Build and productionize RAG pipelines, including: Robust data ingestion pipelines Embedding and indexing strategies Advanced retrieval techniques Ranking and re‑ranking for high‑quality responses - Integrate LLMs with enterprise systems by leveraging APIs, tools, and external data sources, enabling agents to interact safely and effectively with real-world systems. - Continuously optimize RAG and agent performance, improving relevance, latency, cost efficiency, and overall system quality. - Establish strong evaluation, observability, and guardrail frameworks for LLM systems, covering accuracy, safety, hallucination risk, latency, and operational cost. - Deploy, operate, and scale AI applications using Docker, Kubernetes, and Azure cloud services, with a focus on reliability and production readiness. - Drive technical design decisions, define best practices for agentic AI development, and mentor engineers to raise the overall technical maturity of the team. What Success Looks Like - AI systems you build are trusted in production: observable, safe, cost‑aware, and resilient. - Agent workflows are modular, explainable, and easy for teams to extend and maintain. - RAG pipelines consistently deliver accurate, relevant, and timely results across diverse use cases. - Engineering standards and patterns you establish accelerate delivery and reduce long‑term technical risk. - Less experienced engineers grow through your guidance, code reviews, and technical leadership. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience 7-10+ years in software engineering, with strong Python expertise Proven experience building agent-based or autonomous systems in production (not prototypes) Strong experience with LLM APIs (OpenAI) including function calling and orchestration Hands-on experience with frameworks such as LangChain, LangGraph, AutoGen, or CrewAI Deep understanding of RAG architectures, vector databases (e.g., Pinecone, Weaviate, Azure AI Search), and retrieval optimization Strong knowledge of LLM evaluation, prompt optimization, and safety techniques Experience with containerization (Docker, Kubernetes) and cloud platforms (Azure preferred) Familiarity with backend frameworks (e.g., FastAPI) and microservices architecture 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. 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. We’re glad you’re here. Take a look around at the many exciting career opportunities we have available and apply today! Can’t find a suitable job opening? Drop off your CV/Resume Drop off your CV/Resume and a Recruiter will reach out with related career information that match your experience and expertise. Sign up for Job Alerts Create your account and then sign up for job alerts. When new jobs become available that meet your criteria, you’ll be alerted right away! At Kyndryl, we achieve progress the world depends on, with purpose. Beginning with the purpose that matters to you. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress.

Responsibilities

Design, build, and operate production-grade AI agents and LLM applications to solve enterprise problems at scale. This includes architecting stateful workflows, building RAG pipelines, and establishing evaluation and observability frameworks.