AI Platform Engineer (Generative & Agentic AI)

Lenovo; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Lenovo seeks a Senior AI Developer in Poland to design and scale an Agentic AI platform for enterprise customer solutions. You will collaborate with AI engineers to deploy AI services across on-premise and edge infrastructure.

The role requires deep AI knowledge, hands-on implementation, and the ability to integrate tools into a cohesive platform. Strong coding skills and experience with LLMs, multimodal models, and MLOps are essential.

Qualifications

• Bachelor's or Master's in CS, AI, or related field.
• 5+ years in AI development across ML, NLP, CV, or Generative AI.
• 2+ years delivering end-to-end GenAI solutions with LLMs or multimodal models.
• Experience with NVIDIA GPUs, CUDA, and TensorRT is a plus.
• Strong knowledge of on-premise and cloud, containers, and Kubernetes.
• Proven MLOps, LLMOps, or AIOps and CI/CD pipelines (Jenkins, GitLab).
• Strong Python and React programming skills.

Responsibilities

• Develop Generative AI/Agentic AI software platforms aligned with enterprise standards.
• Design architectures, inference engines, agents, and UIs.
• Build end-to-end AI systems using LLMs, SLMs, and VLMs.
• Integrate AI solutions across on-premise and edge environments.
• Identify and adopt AI tools and frameworks to improve effectiveness.
• Apply robust security measures, including encryption and access controls.
• Ensure CI/CD and MLOps best practices for both experiments and production.
• Produce technical documentation and architecture diagrams.
• Stay current with AI advances and propose innovative implementations.
• Support pre-sales discussions and RFP/RFI responses for AI opportunities.
• Communicate complex concepts clearly to technical and non-technical audiences.

Skills

Python

React

CI/CD

NLP/LLMs

Web services

Education

Bachelor’s or Master’s in Computer Science or AI

Tools

NVIDIA GPUs/CUDA/TensorRT

NVIDIA AI Enterprise

Kubernetes

Jenkins/GitLab CI/CD

Open-source ML frameworks

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Job Description

We are seeking a talented and experienced Senior AI Developer to design, implement, and scale out an Agentic AI platform that streamlines the creation of AI-powered customer solutions. In this role, you will collaborate with AI engineers to deploy and scale AI services across enterprise infrastructures. The position requires a great understanding of AI technologies, excellent developer skills, and the ability to create repeatable solutions.

To succeed in this role, you should apply your deep understanding of AI, be hands‑on, and be able to integrate AI tools into a cohesive platform.

Job location: Poland, Bratislava (Slovakia), Hungary, Romania

Key Responsibilities

• Develop Generative AI/Agentic AI software solutions and platforms, ensuring alignment with Lenovo's strategic goals and enterprise technical standards.
• Build AI solutions, including architectures, inference engines, agents, and user interfaces.
• Develop end-to-end AI systems using large language models (LLMs), small language models (SLMs), vision language models (VLMs), and leverage technologies such as MCP and open-source frameworks.
• Integrate AI solutions into existing platforms/systems, including on-premise and edge implementations.
• Identify and implement AI tools, frameworks, and technologies that enhance the effectiveness and efficiency of AI solutions.
• Incorporate robust security measures into AI solutions, including data encryption, access controls, and vulnerability assessments.
• Implement best practices for AIOps and AI development for both experimental and production environments.
• Adhere to coding guidelines and best practices across projects, ensuring high-quality and maintainable AI software development.
• Produce detailed documentation, including system diagrams, data flows, integration points, and technical specifications.
• Stay current with advancements in AI technologies and propose innovative implementation strategies.
• Participate in pre-sales discussions, solution design sessions, and RFP/RFI responses to support enterprise AI opportunities.
• Communicate technical concepts and solution approaches clearly to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• 5+ years in AI development and implementation roles across domains such as data science, machine learning, NLP, computer vision, or Generative AI.
• 2+ years of experience in developing Generative AI end-to-end solutions, including multi-modal solutions utilizing NVIDIA, cloud-based LLMs, or open-source models (e.g., OpenAI, Anthropic, Llama, Hugging Face, Bedrock).
• Experience with NVIDIA technologies (e.g., GPUs, CUDA, TensorRT) and integrating tools from NVIDIA AI Enterprise in on-premise solutions is a plus.
• Strong knowledge of on-premise and cloud environments, particularly with containerization and scaling using Kubernetes.
• Proven experience in implementing MLOps, LLMOps, or AIOps, and managing CI/CD pipelines for AI deployment using tools such as Jenkins, GitLab, or similar.
• Strong programming skills in languages such as Python, React, and scripting languages.

If you are passionate about AI development and eager to take on a challenging yet rewarding role that makes a real impact, we invite you to connect with us!

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.