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Python Flask Developer Remote Jobs in North Carolina

Becton, Dickinson and Company

Engineer II

Durham, NC · Remote

NET Core/C# or Python (FastAPI/Flask) for engineering analysis automation, with front-end ... Remote or field-based positions will have different workplace arrangements which will be indicated ...

Apex Systems

AI Engineer

High Point, NC · Remote

This position is fully remote with a standard Monday-Friday schedule. Responsibilities: * Design ... Develop AI services and integrations using Python , SQL , and web frameworks such as Flask or ...

Matrix Retail

Full Stack Developer

Hickory, NC · On-site +1

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding ... Knowledge of Python backed APIs and libraries (Flask, Sanic) * Familiarity with SQL databases and ...

DataAnnotation

Web Application Developer

Raleigh, NC · Remote

$40/hr

To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

DataAnnotation

Systems Developer

Raleigh, NC · Remote

$40/hr

... JavaScript, Python, C#, C++, HTML, SQL, or Swift) and the ability to explain how your solution ... part-time REMOTE position You can choose which projects you want to work on You can work on your ...

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Python Flask Developer Remote information

What are the key skills and qualifications needed to thrive as a Python Flask Developer in a remote role, and why are they important?

To excel as a remote Python Flask Developer, you need strong proficiency in Python programming, experience with the Flask web framework, and a solid understanding of RESTful API design, usually supported by a relevant degree or portfolio. Familiarity with tools such as Git, Docker, cloud platforms (e.g., AWS), and CI/CD pipelines is highly valued, alongside knowledge of databases like PostgreSQL or MongoDB. Excellent problem-solving, self-motivation, and clear written communication are crucial soft skills for effective remote collaboration and project delivery. These skills ensure the developer can build robust web applications, work independently, and contribute efficiently to distributed teams.

What are the main collaboration and communication tools used by remote Python Flask developers, and how do they impact daily workflow?

Remote Python Flask developers typically rely on tools like Slack or Microsoft Teams for instant messaging, Zoom or Google Meet for virtual meetings, and project management platforms such as Jira or Trello for tracking tasks. Version control is managed using Git services like GitHub or GitLab. These tools facilitate seamless collaboration with cross-functional teams, help maintain transparency, and ensure that everyone stays aligned on project goals, making remote work efficient and organized.

What does a Python Flask Developer do when working remotely?

A Python Flask Developer working remotely designs, develops, and maintains web applications using the Flask framework and the Python programming language. Their responsibilities often include building and integrating APIs, writing backend logic, managing databases, and collaborating with team members through digital communication tools. Remote developers also ensure code quality through testing and debugging, while keeping up with project requirements and deadlines. Effective communication and self-motivation are essential for success in a remote role.

What is the difference between Python Flask Developer Remote vs Python Django Developer Remote?

AspectPython Flask Developer RemotePython Django Developer Remote
Required CredentialsProficiency in Flask, Python, REST APIs, basic database knowledgeProficiency in Django, Python, REST APIs, database management
Work EnvironmentRemote, collaborative teams, startup or tech companiesRemote, often larger organizations or SaaS providers
Industry UsageWeb development, microservices, lightweight APIsFull-stack web apps, enterprise solutions, content management
Search & Comparison IntentCommonly compared due to similar Python frameworks and remote work options

Both Python Flask Developer Remote and Python Django Developer Remote roles involve remote work with Python expertise. Flask developers typically focus on lightweight, flexible microservices, while Django developers work on more comprehensive, full-featured web applications. The choice depends on project complexity and specific framework familiarity.

What are the most commonly searched types of Python Flask Developer jobs in North Carolina? The most popular types of Python Flask Developer jobs in North Carolina are:
What cities in North Carolina are hiring for Python Flask Developer Remote jobs? Cities in North Carolina with the most Python Flask Developer Remote job openings:
Python Flask Developer Remote jobs near you
Infographic showing various Python Flask Developer Remote job openings in North Carolina as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
AI Engineer Applications Development

AI Engineer Applications Development

Pantar Solutions, Inc.

Charlotte, NC • Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI Engineer, Applications Development*
Location: Remote
Contract Length: 5-month contract
-

Position Overview
We are seeking an Engineer, Applications Development I to join the AI Engineering team supporting innovative supply chain and logistics solutions. This role will focus on designing, developing, and deploying AI agents and intelligent software applications that enhance operational efficiency and business processes. The ideal candidate will have experience building AI-driven applications using modern LLM frameworks, cloud technologies, and scalable software engineering practices. This is an excellent opportunity for someone passionate about agentic AI, prompt engineering, and enterprise AI integration.
Key Responsibilities
Design, develop, deploy, and maintain AI agents and software solutions supporting supply chain operations and technology initiatives
Build enterprise AI applications using prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and AI guardrails
Develop scalable AI integrations and APIs using Python, Flask, FastAPI, and SQL
Collaborate with data engineering teams to build and maintain data models and pipelines that support AI solutions
Implement software engineering best practices, including CI/CD pipelines, source control, secure coding, and DevOps methodologies
Build and deploy containerized applications using Docker and Kubernetes
Partner with business stakeholders and product teams to understand requirements and identify AI-driven solutions
Work closely with infrastructure, security, and engineering teams to ensure seamless integration and deployment
Monitor, troubleshoot, and optimize deployed AI solutions and services
Communicate project updates, risks, and resource needs to leadership teams
Mentor junior engineers through code reviews, pair programming, and technical guidance
Stay current with emerging AI technologies, tools, and industry trends
Required Qualifications
3–5 years of experience in software engineering, AI/ML engineering, or data science
Minimum 1 year of hands-on experience focused on agentic AI development
Experience with AI agent development frameworks such as:
Google Agent Development Kit (ADK)
OpenAI Agents SDK
Knowledge of MCP and A2A protocols
Strong proficiency with:
Python
APIs and system integrations
SQL
System design principles
DevOps/AIOps practices
Experience working in cloud environments:
Google Cloud Platform preferred
AWS or Azure acceptable
Familiarity with JavaScript and frontend frameworks
Experience monitoring and optimizing production applications
Strong analytical, troubleshooting, and problem-solving skills
Preferred Qualifications
Master’s degree or advanced degree in Computer Science, AI, Data Science, or related field
Experience fine-tuning LLMs or developing advanced AI algorithms
Familiarity with logistics or warehouse management systems (WMS)
Experience with Snowflake and related ecosystem tools
Hands-on experience with Google Cloud Platform Vertex AI Agent Builder
Experience building scalable enterprise AI solutions in production environments

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