Job details:

• Full-time
• Remote
• Start date: ASAP
• Duration: 6 months + extensions

We are seeking a highly skilled Senior GenAI Engineer with at least 2 years of experience in Data Science, Machine Learning and key areas such as NLP, Generative AI, LLMs and MLOps. The ideal candidate will design and implement advanced AI models and systems while leveraging modern frameworks like LangChain, LangGraph or agentic AI technologies. The role includes developing new AI approaches and solutions, experimenting with cutting-edge architectures and driving innovation across business use cases. Additionally, experience in data engineering and cloud platforms will be valuable in delivering scalable and high‑impact AI capabilities.

Project Context:

Client sectors:

• Automotive
• Financial Services

Project focus:

• Artificial Intelligence & Machine Learning solutions
• Generative AI use cases (LLMs, copilots, intelligent automation)
• End-to-end solution development and deployment

Requirements:

• Minimum 2 years of experience in Data Science and Machine Learning.
• Knowledge of machine learning, deep learning, and Generative AI (GenAI) techniques.
• Proficiency in Python programming language and frameworks like TensorFlow, PyTorch, Pandas or Scikit-Learn.
• Understanding of Natural Language Processes (NLP) techniques such as tokenization, string comparison and embeddings.
• Experience with cloud platforms such as Azure or AWS.
• Good communication and interpersonal skills, with the ability to collaborate effectively with team.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Fluent English

Nice to have:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Familiar with API building using Flask, FastAPI or similar.
• French or German

SNI sp. z o.o. will process personal data for the purpose of the recruitment process in accordance with Data Privacy Policy. The data may also be stored and processed for future recruitment purposes, in accordance with the given consent.