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Senior Python Fullstack Developer (Enterprise AI Platform)

HPTech Inc.East Hartford, CT🇺🇸United StatesPosted Sep 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
East Hartford, CT, United States
Posted
Yesterday
DjangoDockerFastAPIMicroservicesNeo4jAWSETLKubernetesLLMPostgreSQLPythonReactReduxTypeScript

Job Description

Senior Python Fullstack Developer – Enterprise AI Platform

Client Interview: Mandatory
In-Person Meeting: Candidate must be willing to meet the client at one of these locations: 
Hartford, CT, Jersey, NJ, Plano, TX,  Austin, TX

Location: USA Remote

 

Senior Python Fullstack Developer (Enterprise AI Platform) role and are looking for strong, hands-on Python Fullstack professionals with experience in Python, React, AI/LLM integration, Neo4j, PostgreSQL, AWS, Docker, and Kubernetes.

 

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.

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

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