Fullstack Engineer; AI

Job Description

We’re looking for an experienced Full-stack Developer to join our AI team as we continue to develop the first-of-its-kind AI-driven Quality and Regulatory Intelligence (QRI) platform for the life sciences industry.

• Collaborate with the Product Team to understand and solidify business requirements and use cases for AI Applications
• Contribute to the architecture, design, and implementation of the Backend APIs (Python, FastAPI) for Generative AI functionalities
• Contribute to the architecture, design, and implementation of Frontend UI (React, NextJS) for AI Applications
• Contribute to designing the AWS architecture and service stack to host the Frontend and Backend of AI applications in a fault-tolerant and robust manner
• Develop effective Unit, Integration, and E2E testing strategies for the developed components
• Write correct and clean code with minimal guidance and consistently follow developer best practices
• Suggest improvements and optimizations to processes and implement them systematically

• Tech Savvy:
  Actively adopting and incorporating new tools and frameworks into projects
• Manages Complexity:
  Proficient in managing complexity, integrating various systems seamlessly
• Plans and Aligns:
  Able to create and follow a project plan and align tasks with organizational goals
• Collaborates:
  Able to work effectively with team members and contribute to shared objectives
• Manages Ambiguity:
  Able to handle ambiguity, adapt to changing requirements

• 3+ years of developer experience in full-stack application development
• Strong experience building frontend UI components with React/NextJS
• Experience designing and building backend APIs in Python (e.g. FastAPI, Flask, Django)
• Knowledge of AWS services required to containerize, host, and orchestrate AI frontend/backend services (ECS, Lambda, EC2, ALB, API Gateway, Cloudfront, etc.)
• Solid understanding of API design best practices
• Hands‑on experience in integrating backend APIs with SQL (Postgres/MySQL/Other) and no‑SQL databases (Dynamo
  
  DB/Mongo
  
  DB/Other)
• Basic understanding of LLMs and Generative AI applications
• Computer Science, Computer Engineering, or a similar technical degree

• Strong understanding of AI/ML concepts
• Experience building applications with LLMs/Generative AI, RAG
• Familiarity with AI frameworks like Langchain, Lang Graph, Llamaindex
• Familiarity with Foundation Model APIs from LLM providers:
  OpenAI, Anthropic, Gemini

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.