AI Engineer at REDICASystems

We’re looking for an 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 sciences industry. In this role, you will help build and deploy AI-powered capabilities that extract insights from complex regulatory datasets, inspection reports, and government data sources. You will work closely with product managers, data engineers, and software engineers to integrate LLM-powered systems into the Redica platform. The ideal candidate maintains a high bar for engineering quality while remaining hands-on in the code, building scalable AI services and applications that operate reliably in production environments. Core Responsibilities • Build and deploy AI-powered applications using large language models and generative AI frameworks. • Develop conversational systems and intelligent workflows using LLMs and agentic frameworks. • Integrate AI capabilities into existing platform services and APIs. • Design and implement backend APIs and services supporting AI functionality using Python and FastAPI. • Develop microservices that enable scalable AI inference and data processing. • Integrate AI services with other platform components to deliver end-to-end product capabilities. • Work with structured and unstructured regulatory datasets to power AI-driven insights. • Implement hybrid search and retrieval workflows using vector databases and graph databases. • Integrate AI models with data pipelines and data stores to support scalable inference. • Deploy and maintain AI systems in production environments. • Contribute to testing, monitoring, and performance optimization of AI services. • Assist in troubleshooting production issues related to AI systems and model inference. • Work closely with product managers and engineering teams to translate product requirements into AI-powered solutions. • Participate in engineering discussions, code reviews, and sprint planning. • Contribute to continuous improvement of AI development practices and system performance.What Success Looks Like in the First 6 Months • Ship AI-powered features used by customers within the Redica platform. • Contribute production-ready code to backend services and frontend interfaces. • Help integrate LLM-based capabilities into customer-facing workflows. • Improve reliability, testing, and performance of AI-enabled services. • Identify opportunities to automate engineering workflows using AI tools.About you • Tech Savvy: Demonstrates strong technical proficiency in AI technologies and modern development tools, and actively adopts emerging technologies that improve system performance and engineering productivity. • Manages Complexity: Works effectively within complex systems involving AI models, data pipelines, and distributed services. • Plans and Aligns: Executes development tasks within defined scopes and aligns work with product and engineering priorities. • Collaborates: Works effectively with cross-functional teams and contributes constructively toward shared goals. • Manages Ambiguity: Adapts to evolving datasets, model approaches, and product requirements while maintaining steady development progress. • Engaged: Shares our values and possesses the essential competencies needed to thrive at Redica, as outlined here: [Upgrade to PRO to see link]