Senior AI Engineer

REDICA Systems • Pleasanton, CA

3d

About The Position

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.

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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior