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Python Full Stack Engineer

SMART TECH SKILLS LLC United States

IT Services and IT Consulting · 11-50 employees

5 h ago
Remote python Mid (2-5 yrs) Full-time United States
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About the role

The engineer will design, build, and maintain scalable full-stack web applications using Python, FastAPI, and React. They will also integrate AI capabilities such as Azure OpenAI and LangChain to develop robust features like smart assistants and RAG workflows.

What they look for

Python FastAPI React Azure GitHub CI/CD Azure OpenAI LangChain Prompt Engineering RAG REST APIs Cloud Computing Software Engineering Unit Testing Database Integration Async Programming

Requirements

Candidates must have at least 4 years of professional software engineering experience and a degree in a related field. Proficiency in Python, FastAPI, React, and Azure cloud services is required for this role.

Full description

Benefits:

  • Competitive salary

Location Remote

Experience Level Mid–Senior Level (4 or more years of experience)

Role Overview The Python Full Stack Engineer designs, builds, and maintains production-grade web applications end-to-end. This role focuses on developing FastAPI backends, React frontends, and deploying applications on Azure App Services using GitHub CI/CD pipelines. Additionally, the engineer integrates practical AI capabilities—including Azure OpenAI, Azure AI Foundry, LangChain, and prompt engineering—to ship robust features such as Retrieval-Augmented Generation (RAG), smart assistants, and automated tools.

Key Responsibilities

Backend & Frontend Engineering

  • Design, build, and maintain scalable backend services and REST APIs in Python using FastAPI, middleware, background tasks, and database integrations.
  • Develop and maintain performant, user-friendly, and testable frontend interfaces using React, modern state management, and hooks.
  • Apply software engineering best practices, including unit/integration testing, clean architecture, documentation, logging, and performance optimization.

Cloud, DevOps, & Observability

  • Deploy, operate, and troubleshoot full-stack web applications on Azure App Services, managing configuration, scaling, and incident response.
  • Build and manage automated CI/CD pipelines on GitHub, incorporating automated testing, code quality checks, and deployments.
  • Securely integrate core Azure services, including Azure Key Vault, Azure Storage, and Application Insights for observability and monitoring.

AI Integration & Feature Engineering

  • Implement practical AI-powered features, smart tools, and assistants using Azure OpenAI and Azure AI Foundry.
  • Utilize LangChain or similar frameworks to orchestrate LLM workflows, tools, agents, and Retrieval-Augmented Generation (RAG) patterns.
  • Apply structured prompt engineering techniques to ensure reliability, safety, quality, and mitigation of LLM hallucinations.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 4 or more years of professional software engineering experience building and operating production systems.
  • Strong Python development capabilities, including typing, packaging, async programming, and clean code organization.
  • Solid experience building backend APIs with FastAPI (or similar frameworks), including routing, middleware, authentication, and async I/O.
  • Hands-on frontend development experience using React (hooks, state management, API integration, and testing fundamentals).
  • Experience deploying and running web applications on Azure App Services or similar PaaS environments.
  • Proficiency with Git, GitHub Actions, pull requests, code reviews, and CI/CD pipelines.
  • Familiarity with relational or NoSQL database integration within Python backends.

Preferred Qualifications

  • Hands-on experience integrating LLMs using Azure OpenAI, Azure AI Foundry, and vector search services (e.g., Azure AI Search).
  • Exposure to LangChain or similar frameworks for building LLM workflows, tool-using agents, and RAG architectures.
  • Working knowledge of prompt engineering patterns (system prompts, few-shot prompting, structured outputs, and safety guardrails).
  • Experience with background task processing frameworks (e.g., Celery, RQ, Azure Functions, or queue systems).
  • Experience establishing observability stacks (logging, metrics, tracing) within Azure environments.
  • Prior experience in client-facing or consulting technology environments.

Core Skills & Attributes

  • Application-first engineering mindset prioritizing clean architecture, maintainability, reliability, and code quality.
  • Strong analytical and problem-solving skills to own features end-to-end from technical design through deployment and monitoring.
  • Excellent communication and collaborative skills to partner effectively with product, design, and engineering teams.
  • Practical approach to evaluating and applying emerging AI capabilities within production software limits.

This is a remote position.

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