Senior AI Engineer – Distributed Cloud

About the role

We are looking for a Senior AI Engineer to drive technical excellence in our AI initiatives. You will act with high‑impact projects, serving as a hands‑on guide for the teams and a trusted advisor for strategic decisions. Your focus is on building and scaling intelligent systems.

Key responsibilities

• Act as the Tech Lead for complex AI projects, ensuring high‑quality implementation and technical rigor.
• Design and optimize production‑ready AI solutions, moving beyond prototypes to scalable systems.
• Experiment with and implement cutting‑edge Generative AI, LLMs, and Multi‑agent systems to solve real‑world problems.
• Provide technical guidance and mentorship to junior engineers, fostering growth and best practices within the team.
• Work closely with the Area Manager to align technical roadmaps with business goals.
• Stay at the forefront of AI advancements, proactively identifying new tools and techniques to integrate into our stack.

Required profile

• Proven track record of developing and deploying AI/ML models in production environments.
• Strong foundation in classical ML, with deep practical experience in Generative AI, LLMs, and Multi‑agent systems.
• Proficiency in Python and core frameworks like PyTorch, TensorFlow, or Scikit‑learn.
• Experience with advanced decision‑support systems, real‑time predictive modeling, and optimization techniques.
• Solid understanding of data pipelines and cloud platforms (AWS, GCP, or Azure), including Docker and Kubernetes.
• Expertise in model evaluation, feature engineering, and ensuring model interpretability/reliability.
• Experience with graph‑based algorithms, time‑series forecasting, or probabilistic models.
• Degree in Computer Science, Data Science, Mathematics, or a related field (advanced degrees are welcome).

Required skills

• Python
• PyTorch
• TensorFlow
• Scikit‑learn
• AWS
• GCP
• Azure
• Docker
• Kubernetes