Teams at Redica Systems

Build and deploy production-grade AI applications using LLMs, generative AI, conversational and agentic frameworks. Develop Python and FastAPI backend services, scalable microservices, hybrid search workflows, and integrations with vector and graph databases. Collaborate with product and engineering teams to integrate AI into platform services, support model inference, monitor performance, troubleshoot production systems, and improve AI development practices.

Develop and maintain scalable AI and ML architectures for a life sciences regulatory intelligence platform. Lead technical decisions, integrate LLM services and microservices, build conversational and agentic systems, manage data stores and databases, support production delivery, and collaborate in an Agile Scrum environment. The role requires hands-on Python development, generative AI deployment, cloud architecture, vector and graph databases, hybrid search, and backend API development.

Leads revenue operations across sales, marketing, planning, systems, forecasting, pipeline reporting, lead management, and commercial processes. Owns Salesforce architecture, CRM adoption, workflows, automation, data governance, dashboards, and revenue projections. Partners with commercial leaders to resolve operational issues, improve lead and opportunity progression, evaluate integrations, apply AI-enabled workflows, and establish consistent processes across teams.