AI Platform Engineer (Generative & Agentic AI)

Lenovo; Warszawa; On-site; PLN 260,000 - 380,000; Full time

Job summary

Lenovo in Poland is seeking an experienced AI software engineer to drive Generative AI initiatives and agentic AI solutions. You will design architectures, inference engines, and user interfaces, delivering end-to-end AI systems across on‑premise and edge platforms.

The role requires 5+ years in AI development, deep knowledge of Python, React, and scripting languages, plus 2+ years with Generative AI end-to-end solutions and NVIDIA/open‑source tools. Equal opportunity employer. Poland location.

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 data science, ML, NLP, CV, or Generative AI.
• 2+ years of experience in developing Generative AI end-to-end solutions, incl. multi-modal with NVIDIA/cloud/open-source models.

Responsibilities

• Develop Generative AI/Agentic AI software solutions and platforms.
• Build AI solutions, including architectures, inference engines, agents, and user interfaces.
• Develop end-to-end AI systems using LLMs, SLMs, and VLMs across on-premise and edge implementations.
• Identify and implement AI tools, frameworks, and technologies to improve AI solutions.
• Incorporate security measures like encryption, access controls, and vulnerability assessments.

Skills

Python

React

Scripting

MLOps

NLP

Kubernetes

Education

Bachelor's or Master's in CS/AI

Tools

NVIDIA GPUs

TensorRT

NVIDIA AI Enterprise

Jenkins

GitLab

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 .

Description and Requirements

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.

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.

Additional Locations: * Poland

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.

If you require an accommodation to complete this application, please [e-mail]