AI​/GenAI Engineer

Descripción de la oferta

Collaborates with the technical team to implement both traditional machine learning and generative AI systems under senior guidance.

This role supports the entire AI development process, from data collection and preprocessing through model deployment and monitoring for both predictive and generative applications. The Engineer builds and refines prompt templates for various LLM use cases while implementing retrieval‑augmented generation systems to enhance generative applications with external knowledge. They contribute to solution development using established frameworks and model architectures, focusing on feature engineering for traditional ML and context engineering for generative applications.

This position involves conducting comparative evaluations between traditional machine learning approaches and generative AI alternatives to determine optimal solutions for specific business problems. The Engineer maintains comprehensive documentation of code, methodologies, and experimental results for both AI and generative AI implementations. They actively participate in code reviews and knowledge‑sharing sessions while staying current with emerging trends across the AI/GenAI landscape. Throughout the software development lifecycle, the Engineer implements AI‑assisted tools and workflows to enhance productivity and quality, collaborating across teams to integrate these capabilities into existing systems.