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Remote :: Python Fullstack Developer Enterprise AI Platform - 12+ years exp.

IT First SourceUnited States🇺🇸United StatesPosted Sep 16, 2026

Why This Role Stands Out

You'll thrive in this remote role by architecting and scaling an innovative AI platform, gaining invaluable experience with cutting-edge technologies like FastAPI, React, and Neo4j. This is an excellent opportunity for experienced fullstack developers passionate about building impactful enterprise solutions within a flexible work environment. Apply now to contribute to the future of AI-driven enterprise technology!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
22 hours ago
DjangoDockerFastAPIMicroservicesNeo4jAWSETLKubernetesPostgreSQLPythonReactReduxTypeScript

Job Description

REMOTE:: Sr. Python Fullstack Developer Enterprise AI Platform

In-Person Meeting: Candidate must be willing to meet the client at one of these locations:

  • Hartford, CT; Jersey, NJ; Plano, TX; Austin, TX

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.

Key Responsibilities & Tech Stack:

  • 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).

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Thanks,
IT First Source

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