Senior AI Engineer
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Senior
- Apply from
- United States
About the role
- Lead development of AI solutions for life sciences.
- Hands-on experience with Python and ML applications.
- Collaborate in an Agile Scrum environment.
- Integrate various ML subsystems for end-to-end solutions.
- Manage complex technical projects and systems.
Skills the posting asks for
- Python
- ML
- FastAPI
- LLM
- NoSQL
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
Redica Systems is the Intelligence Cloud for life sciences, transforming regulatory complexity into connected, proactive intelligence. Redica's platform helps the world's leading Pharmaceutical and MedTech companies stay inspection-ready, manage supplier risk, and keep pace with evolving global regulations. Built on the Redica Catalyst Platform and powered by Redica ID, Redica unifies the industry's most complete regulatory and inspection datasets, sourced from hundreds of global health authorities, into trusted intelligence for quality and regulatory teams. The Redica Intelligence Cloud brings data together to anticipate risk, accelerate compliance, and enable smarter, faster decisions across the enterprise.
More information is available at redica.com.
Job DescriptionWe’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: https://redica.com/about-us/careers
- 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
Bonus Points
- 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
Top Pharmaceutical Companies, Food Manufacturers, MedTech Companies, and Service Firms from around the globe rely on Redica Systems to mine and process government inspection, enforcement, and registration data. This enables them to quantify risk signals from their suppliers, identify market opportunities, benchmark against peers, and prepare for the latest inspection trends.
Our data and analytics have been cited by major media outlets, including MSNBC, The Wall Street Journal, and The Boston Globe.