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Remote Python Flask Jobs in Bridgewater, MA (NOW HIRING)

Remote Python Flask information

See Bridgewater, MA salary details

$13

$61

$90

How much do remote python flask jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote python flask in Bridgewater, MA is $61.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

What are Remote Python Flask developers?

Remote Python Flask developers are software engineers who specialize in building web applications using the Flask framework with the Python programming language, while working from a location outside of a traditional office setting. They design, develop, test, and maintain backend and sometimes frontend components of web applications. These professionals collaborate with teams using online tools and communicate via email, chat, or video calls. Their responsibilities often include writing clean code, integrating APIs, troubleshooting issues, and deploying applications to cloud platforms.

How do Remote Python Flask developers typically collaborate with team members across different locations?

Remote Python Flask developers often work closely with distributed teams using collaborative tools like GitHub, Slack, and project management platforms such as Jira or Trello. Daily stand-ups, code reviews, and pair programming sessions are commonly held through video calls and screen sharing to maintain effective communication and code quality. Clear documentation and asynchronous communication are essential for aligning on project goals and resolving issues efficiently. This remote setup allows developers to contribute flexibly while staying connected with product managers, designers, and other engineers.

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

To thrive as a Remote Python Flask Developer, you need strong proficiency in Python programming, experience with Flask web framework, and a solid understanding of RESTful API design. Familiarity with version control systems like Git, cloud platforms (e.g., AWS or Azure), and knowledge of database technologies such as SQL or NoSQL are typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for working independently and collaborating remotely. These skills ensure high-quality, scalable web applications and effective teamwork in distributed environments.

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

AspectRemote Python FlaskRemote Django Developer
Required CredentialsPython, Flask, REST APIs, basic HTML/CSSPython, Django, REST APIs, HTML/CSS, JavaScript
Work EnvironmentFlexible remote, startup or small teamFlexible remote, larger teams or enterprise projects
Industry UsageWeb development, microservices, APIsFull-stack web applications, content management systems
Common Search IntentBuilding lightweight APIs, microservicesDeveloping full-featured web applications

Remote Python Flask roles typically focus on creating lightweight APIs and microservices using Flask, suitable for startups and small teams. Remote Django Developer positions often involve building comprehensive web applications with Django's full-stack capabilities, often in larger or enterprise environments. Both roles require Python skills, but Django developers usually need additional knowledge of frontend technologies and Django-specific features.

GenAI Factory Builder @ Remote or Hybrid

Compsciprep LLC

Boston, MA • On-site

Other

Posted 4 days ago


Job description

Required Skills: Strong programming experience in Python for building AI applications and backend services.
Hands-on experience developing Generative AI / LLM-based applications.
Experience working with frameworks such as LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
Experience building AI agents, copilots, automation workflows, or AI-powered tools.
Familiarity with RAG (Retrieval Augmented Generation) architectures and prompt engineering.
Experience integrating AI models via APIs (OpenAI, Claude, or other LLM providers).
Ability to rapidly prototype and deploy solutions using tools like FastAPI, Flask, Streamlit, or similar frameworks.Experience building AI automation tools for enterprise workflows.
Familiarity with Claude / Markdown-based development environments.
Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
Experience building AI copilots, research assistants, or workflow automation agents.
Contributions to open-source AI projects or GitHub repositories.