Senior AI Engineer

Posted Yesterday
Hiring Remotely in Pleasanton, CA, USA
In-Office or Remote
Senior level
Information Technology • Machine Learning • Analytics
The Role
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.
Summary Generated by Built In
Company Description

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 Description

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. 

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

Qualifications

  • 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

Additional Information

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

Skills Required

  • 5+ years of experience as a senior or lead developer in cloud-based code and system architecture
  • Deep, hands-on experience with Python
  • Strong experience building and deploying LLM and Generative AI applications at scale
  • Extensive hands-on experience with third-party LLM provider APIs, including OpenAI, Google, Anthropic, or Amazon Bedrock
  • Experience with open-source LLMs such as Llama and Mistral
  • Experience building conversational systems using LLMs and agentic frameworks
  • Hands-on experience with microservices architecture and orchestration
  • Experience building backend APIs using FastAPI
  • Experience with vector databases, graph databases, and hybrid keyword and semantic search
  • Hands-on experience with SQL and NoSQL databases or warehouses
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
  • Familiarity with Streamlit, ReactJS, or other lightweight UI frameworks
  • Hands-on experience with AWS container orchestration services such as ECS and EKS
  • Experience with batch and event-driven application architectures and ML inference methods
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The Company
HQ: Pleasanton, CA
89 Employees
Year Founded: 2010

What We Do

Redica Systems is a data analytics platform to help regulated industries improve their quality and stay on top of evolving regulations. Our proprietary processes transform one of the industry’s most complete data sets, aggregated from hundreds of health agencies and unique Freedom of Information Act (FOIA) sourcing, into meaningful answers and insights that reduce regulatory and compliance risk. With human expertise, machine learning, and automation, we assimilate, normalize, and organize large amounts of unstructured data to make sure all entities are represented and connected. The RedicaID provides a real-time view into evolving data by tracking inspections, enforcement actions, regulatory publications, and M&A activity. In a complex landscape that’s always in flux, the RedicaID is a reliable constant. Founded in 2010, Redica Systems serves over 200 customers in the pharma, biopharma, medtech, medical device, and food and cosmetics industries, including 19 of the top 20 pharma companies and 9 of the 10 top medical devices companies. The FDAzilla store is a wholly-owned subsidiary of Redica Systems. Redica Systems’ headquarters are in Pleasanton, CA. More information is available at www.redica.com.

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