Senior AI Engineer

We’re looking for an experienced Senior AI Engineer to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry. The ideal candidate will have experience maintaining a high bar of quality while remaining hands-on in the code.

Core Responsibilities Fully understand technical architecture and various ML subsystems Lead in an Agile Scrum environment with a keen focus on delivering sustainable, high-performance, scalable, and easily maintainable enterprise solutions Help prioritize technical issues with engineering managers Proactively guide technical decisions on ML architecture Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues as necessary Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices Integrate various subsystems or components to deliver end-to-end solutions Integrate ML services with multiple subsystems About you Tech Savvy: Demonstrates expertise in a wide range of technologies and stays ahead of industry trends.

Manages Complexity: Highly experienced in managing complex technical projects and systems. Plans and Aligns: Proficient in creating comprehensive project plans and ensuring alignment with strategic objectives. Collaborates: Proactively engages in team projects, contributing ideas and solutions.

Manages Ambiguity: Operates effectively in ambiguous situations and adapts to changing demands.

Engaged: Not only shares our values but also possesses the essential competencies needed to thrive at Redica, as outlined here: 5+ years of experience as a senior or lead developer in cloud-based code and system architecture Deep, hands-on experience in Python Strong experience in building and deploying LLM and Generative AI applications at scale Extensive hands-on experience with third-party LLM provider APIs (OpenAI, Google, Anthropic, Ama