AI-Driven Full Stack Engineer (Python/React)

Jobtailor; Arlington (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor is seeking a software engineer to design and implement scalable Python backends and modern React frontends for AI-driven applications. You will lead system design discussions and communicate complex concepts to clients, ensuring secure, scalable solutions and productive collaboration across teams.

Responsibilities include building end-to-end RAG workflows, optimizing data pipelines with SQL and Python, and integrating AI components with semantic layers and knowledge graphs.

Qualifications

• Bachelor’s degree in CS, Data Science, Math, or related field.
• 2–5 years of professional software development experience (backend & frontend).
• Proficiency in Python or Java for backend development.

Responsibilities

• Design, implement, and maintain scalable Python backend microservices and intuitive React/TypeScript frontend interfaces for AI-driven applications
• Lead system component design and communicate designs to clients
• Design and implement production-ready solutions with security, access-control, and scalability in mind
• Implement agentic AI solutions including orchestration patterns and memory/retrieval integration
• Design and operate end-to-end RAG workflows and retrieval architectures
• Lead data pipelines for ingesting and enriching content using SQL and Python
• Integrate AI components with semantic layers and knowledge graphs
• Advise on production-grade security, RBAC/ABAC, and network architecture
• Collaborate with domain experts to communicate technical insights

Skills

Python Backend Development

React Frontend Development

SQL Database Architecture

NLP Techniques

RDF Graph Databases

SPARQL

Education

Bachelor’s Degree in Computer Science

Data Science

Math

Tools

Docker

AWS

Azure

GCP

GitHub Actions

Job description

Jobtailor is seeking a software engineer to design and implement scalable Python backends and modern React frontends for AI-driven applications. You will lead system design discussions and communicate complex concepts to clients, ensuring secure, scalable solutions and productive collaboration across teams.

Responsibilities include building end-to-end RAG workflows, optimizing data pipelines with SQL and Python, and integrating AI components with semantic layers and knowledge graphs.