Senior AI Developer

Náplň práce, právomoci a zodpovednosti:
- Develop Generative AI and Agentic AI solutions aligned with Lenovo’s strategy and technical standards
- Design and build AI architectures, inference engines, agents, and user interfaces
- Deliver end-to-end AI systems using LLMs, SLMs, VLMs, and relevant frameworks
- Integrate AI solutions into existing platforms, including cloud, on-premise, and edge environments
- Select and implement AI tools and technologies to improve efficiency and scalability
- Ensure security standards (encryption, access control, vulnerability management) across AI solutions
- Apply AIOps and AI development best practices for both experimentation and production
- Create technical documentation and support pre-sales activities (RFPs, solution design)

Zamestnanecké výhody, benefity:
- Hybrid working model (homeoffice/office)
- 3 sick days per year
- Additional vacation days
- 100% sick leave compensation up to 2 months per year
- A broad selection of soft / hard skills trainings and individual mentoring
- Employer contribution to the Third Pillar Pension System
- An international team with a high focus on Gender Diversity.​
- Employee Assistance Program, e.g., for psychological, legal & financial consultancy​
- You are joining a company that prioritizes sustainable solutions like CO2 Offset, Asset -Recovery Services, and the Lenovo Certified Refurbished portfolio
- Access to training for personal development - Internal E-learning Development Platform Available for Employees
- Mentorship program

Požiadavky na zamestnanca:
- Bachelor’s or Master’s degree in Computer Science, AI, or related field
- 5+ years of experience in AI/ML, data science, NLP, computer vision, or Generative AI
- 2+ years of hands-on experience with end-to-end Generative AI solutions (multi-modal preferred)
- Experience with LLM ecosystems (e.g., OpenAI, Anthropic, Llama, Hugging Face, Bedrock)
- Familiarity with NVIDIA technologies (GPUs, CUDA, TensorRT) is an advantage
- Strong understanding of cloud and on-prem environments, including Kubernetes/containerization
- Proven experience with MLOps / LLMOps / AIOps and CI/CD pipelines (e.g., Jenkins, GitLab)
- Strong programming skills in Python, React, and scripting languages