Senior AI Engineer

Overview

Drive the development and implementation of AI use cases across the organization. Lead the technical execution of high‑impact projects, transforming business requirements into scalable AI features for both internal and external products. Operate with a high degree of autonomy, owning the full development lifecycle and setting high architectural standards while mentoring others.

• Own the execution of AI initiatives from ideation and data preparation to deployment and scaling.
• Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real‑world automation and intelligence challenges.
• Design and manage efficient data flows and pipelines to ensure AI models are backed by robust, production‑ready data.
• Take ownership of the technical roadmap for specific use cases, ensuring best practices in code quality, system reliability, and performance.
• Lead projects technically, set high architectural standards, and mentor team members.

• Bachelor’s degree in computer science, artificial intelligence, IT, or a related field.
• At least 3 years of professional experience in AI Engineering, Machine Learning, or a closely related software engineering field.
• Proven expertise in Generative AI (LLMs, RAG, and prompt engineering).
• Strong foundation in traditional ML (classification, regression, and predictive analytics).
• Expert proficiency in Python and experience with modern data science libraries.
• Experience working within cloud ecosystems and data warehouses to manage large‑scale datasets and orchestrate data flows.
• Track record of moving projects from prototype to production, ensuring they are scalable and reliable for end users.
• Strong understanding of containerization (e.g., Docker) and AI deployment life cycles is a significant advantage.