AI Platform Engineer (Generative & Agentic AI)

Lenovo - Warsaw, Mazowieckie, Poland

Hiring: AI Platform Engineer (Generative & Agentic AI) Company: Lenovo Location: Warsaw, Mazowieckie, Poland Job Posted Time: 2026-09-16 15:40:54 Target Skills & Keywords : AI, CI/CD, Computer Vision, Encryption, GitLab, Hugging Face, Jenkins, Kubernetes, LLM, MLOps, Machine Learning, NLP, Python, React, TensorRT About the job Experience: •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). Required Skills: •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. Qualifications: •Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. •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! Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!