Qualifications

• 7+ years of experience in software engineering, data science, or machine learning with leadership roles.
• 2+ years of hands-on experience with Generative AI and LLM solutions, preferably in production.
• Proven track record in architecting and operating large-scale AI/ML systems or data platforms.
• Strong knowledge of LLMs, embeddings, RAG, prompt engineering, and GenAI architectures.
• Proficient in Python, with experience in relevant AI/ML frameworks.
• Experience in deploying scalable applications using cloud-native architectures.
• Understanding of evaluation, testing, monitoring, and responsible AI practices.
• Bachelor's degree in a technical field such as Computer Science or Data Science.

Responsibilities

• Lead and mentor globally distributed engineering teams with a focus on performance and technical guidance.
• Architect, design, and deliver production-grade Generative AI products with an emphasis on quality and scalability.
• Guide technical decisions around LLMs and AI methodologies, ensuring effective implementation.
• Establish evaluation and monitoring systems for Generative AI products to ensure reliability and quality.
• Evaluate emerging AI technologies for architecture and model selection decisions.
• Collaborate with Product Owners to convert business needs into actionable technical plans.
• Drive engineering best practices throughout the development lifecycle and address technical challenges.
• Communicate complex technical choices and project statuses to engineering teams and senior management.

Benefits

• Hybrid work model with flexibility to work remotely and in-office.
• Opportunities for professional development and continuous learning.
• Collaborative work culture with a focus on innovation.
• Access to advanced technologies and tools in Generative AI.