Python Full Stack Engineer
Fully Remote - US
Python Full Stack Engineer
Full Time • Fully Remote - US
Benefits:
- Competitive salary
Location
Remote
Remote
Experience Level
Mid–Senior Level (4 or more years of experience)
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.
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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
Established in 2004, Smart Tech Skills is a top technology and professional services firm specializing in innovative technologies.
Headquartered in Marlborough, MA, the company effectively addresses clients’ technology needs nationwide, making advanced technology management easier.
Headquartered in Marlborough, MA, the company effectively addresses clients’ technology needs nationwide, making advanced technology management easier.
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