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# Python Fullstack Developer (Enterprise AI Platform) @ Remote

- **Company:** Kaizen Technologies Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Databases, Extract Transform Load (ETL), Database Queries, Django Web Framework, Graph Database, Python (Programming Language), PostgreSQL, Neo4j, Search Technologies, SQLAlchemy, TypeScript, ReactJS, Apache Spark, Backend, Fastapi, Information Technology, AWS Glue, React Redux, Api Design, Restful APIs, Data Pipelines, AWS EKS, Docker, Microservices
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/401322c8-9fde-46f7-9943-ffac1def240c

## About the Role

Role Overview: We are seeking a hands-on Senior Python Fullstack Developer with 10+ years of experience to design, build, and scale our AI-powered enterprise platform, CollateralIQ. In this role, you will lead end-to-end feature development across modern React frontends and asynchronous Python backends while driving the integration of cutting-edge AI features, specialized graph databases, and high-throughput data pipelines., * Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

 * 10+ years of production experience in full-stack software development, database query optimization, and cloud-native systems.

## Description

* Fullstack Engineering: Architect and write clean, scalable code using Python (FastAPI/Django) and React (TypeScript/Hooks), implementing state management via Redux or Context API.
 * Backend & API Systems: Design high-performance RESTful APIs, utilizing async/await patterns and SQLAlchemy ORM within a distributed microservices architecture.
 * AI & Graph Integration: Implement semantic search and OpenAI API integrations, working with specialized database paradigms like Neo4j (Cypher) alongside PostgreSQL.
 * Data & Infrastructure: Collaborate with data teams on ETL/ELT pipelines (AWS Glue/Spark) and deploy containerized microservices using Docker and Kubernetes (AWS EKS).


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