Senior AI Engineer

🕒 September 10

🌐 India, United States – Remote

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⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 14%

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Logo of Redica Systems

Redica Systems

51 - 200 employees

Founded 2010

🏥 Healthcare

🍽️ Food & Beverage

💼 Consulting

💰 $30M Series B on 2021-12

Healthcare • Food & Beverage • Consulting

Redica Systems is a data analytics platform focused on providing quality and regulatory intelligence for life sciences companies, including those in the pharmaceutical and MedTech sectors. The platform structures unstructured data from various global health agencies and transforms it into actionable insights, which helps companies improve their product quality, manage compliance risks, and enhance regulatory surveillance. Redica Systems' solutions are utilized by over 200 leading firms to address complex GxP compliance challenges, enabling them to move from reactive to proactive strategies.

📋 Description

• Understand the technical architecture and various ML subsystems • Lead in an Agile Scrum environment, focusing on sustainable, high-performance, scalable, and maintainable enterprise solutions • Help prioritize technical issues with engineering managers • Guide technical decisions on ML architecture • Ensure successful system delivery to production • Assist operations and support teams in resolving production issues • Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices • Integrate subsystems and components to deliver end-to-end solutions • Integrate ML services with multiple subsystems

🎯 Requirements

• 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, Amazon Bedrock) and open-source LLMs (Llama, Mistral) • Experience in building conversational systems using LLMs and agentic frameworks • Hands-on experience with microservices architecture and orchestration, including building backend APIs using FastAPI • Experience with vector databases, graph databases, and hybrid (keyword and semantic) search • Hands-on experience working with SQL and NoSQL databases/warehouses • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field • Familiarity with lightweight UI design using Python/JavaScript frameworks (Streamlit, ReactJS) and integration with ML model backends • Hands-on experience with container orchestration services on AWS (e.g., ECS and EKS) • Experience with both batch and event-driven application architectures and ML inference methods

🏖️ Benefits

• Employees can work remotely

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