AI Agent Platform Engineer
At a glance
Mid-level Platform & Infrastructure role at Nagarro. Remote, Poland · full-time.
Pay not stated Platform Engineer salary
remoteroles summary, based on the employer's posting.
What you'll do
- Build agent platforms, harnesses and factories from the ground up
- Create AI applications and agent workflows for enterprise use
- Design secure, resilient cloud setups, then manage infrastructure through code and CI/CD
- Run and tune cloud-native applications on Kubernetes, connecting AI solutions to enterprise and legacy systems
- Work with client architects and engineering leaders to deliver solutions that meet security and governance standards
What you bring
- Strong practical software engineering and cloud delivery experience
- Deep skills in Kubernetes, cloud architecture and infrastructure defined as code
- A track record of building agent platforms, harnesses or factories from scratch
- Experience designing AI applications and agent workflows for complex enterprise environments
Who this fits
This remote role suits a mid-level engineer with strong cloud and AI implementation experience. You’ll work with client architects and engineering leaders, and should be comfortable addressing enterprise security, governance and regulatory needs.
From the employer
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19,000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
- Design and build agentic platforms, agent harnesses, and agent factories from the ground up.
- Develop and implement AI-driven application solutions and agentic workflows for enterprise environments.
- Design and deliver scalable, secure, and resilient cloud architectures.
- Engineer and manage cloud infrastructure using Infrastructure as Code (IaC) and CI/CD pipelines.
- Deploy, operate, and optimize cloud-native applications using Kubernetes.
- Integrate AI-powered solutions with enterprise systems, legacy infrastructure, and existing technology platforms.
- Ensure compliance with enterprise architecture standards, security requirements, and governance frameworks.
- Collaborate with client architects, engineering leaders, and cross-functional teams to deliver enterprise-grade solutions.
Required Qualifications
- Strong hands-on software engineering and cloud delivery experience
- Expertise in Kubernetes, cloud architecture, and Infrastructure as Code (IaC)
- Proven experience designing and building agentic platforms, agent harnesses, or agent factories from scratch
- Strong experience in AI application solution design and agentic workflows
- Experience designing, developing, and deploying scalable applications in complex enterprise environments
- Understanding of enterprise architecture, security, governance, and regulatory requirements
- Experience integrating AI solutions with legacy infrastructure and enterprise systems
- Strong technical communication and collaboration skills with senior architects and engineering leadership
Good-to-Have Qualifications
- Experience in banking, financial services, or other highly regulated industries, including mainframe and core banking platform integration
- Experience modernizing legacy applications and integrating them with cloud-native and AI-powered solutions
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