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Senior Python Flask Developer Jobs in Framingham, MA

Senior Platform Engineer

Boston, MA · On-site

$113K - $155K/yr

... DevOps or similar role * Strong programming skills in Python or an equivalent language * Working knowledge of Python frameworks, such as Django, Flask, etc * Experience working with relational ...

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Django, Flask, Node.js, Angular). Able to code front to back with HTML, CSS, JavaScript, and Python ... Architecture and solutions development leveraging microservices. DevOps experience with ...

This role is ideal for a Lead or Senior Engineer who thrives as an individual contributor and wants ... Experience with key Python Libraries (pandas, NumPy) required * Experience in frontend development ...

AI Developer

Boston, MA · On-site

$70 - $110/hr

Develop and maintain Python-based AI applications and APIs using frameworks like FastAPI, Flask, or ... Collaborate with data engineering teams to ensure smooth ingestion, transformation, and storage of ...

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Position Overview As Senior Software Engineer , you'll work fluidly across backend and frontend ... Strong Python skills : FastAPI (preferred), Flask, or Django * Strong JavaScript/TypeScript skills

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

... networking, devops and AI governance teams to build automated AI production workflows; support ... FastAPI, Flask, or similar Python web frameworks; Building CI/CD pipelines for automated ...

New

... Python/Django/Flask, etc), building APIs services and scaling systems * UX & Prototyping ... Figma) * DevOps & Cloud: Experience with cloud platforms (e.g., AWS, GCP, Azure) and CI/CD ...

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Senior Python Flask Developer information

See Framingham, MA salary details

$56.6K

$146K

$200.6K

How much do senior python flask developer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for senior python flask developer in Framingham, MA is $146,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $168,200.00 per year, depending on experience, location, and employer.

How much does a senior Python developer make?

A senior Python Flask developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and company size. They often possess strong skills in web frameworks, APIs, and database integration, which can influence salary levels.

What are Senior Python Flask Developers?

Senior Python Flask Developers are experienced software engineers who specialize in building web applications using the Python programming language and the Flask web framework. They are responsible for designing, developing, and maintaining scalable backend systems, APIs, and web services. In addition to strong coding skills, they often lead projects, mentor junior developers, and ensure best practices in code quality, security, and performance. Their expertise allows them to solve complex technical challenges and contribute to the overall architecture and success of software projects.

What is the salary of Python flask?

The salary for a Senior Python Flask Developer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and company size. Skilled developers with knowledge of REST APIs, database integration, and cloud deployment tend to earn higher salaries.

What are some common challenges faced by Senior Python Flask Developers when working on large-scale applications?

Senior Python Flask Developers often encounter challenges such as managing complex codebases, ensuring scalability, and maintaining performance as applications grow. Integrating Flask with other technologies (like databases, caching systems, or third-party APIs) can introduce architectural complexities. Additionally, balancing rapid development with writing maintainable, well-tested code is crucial. Collaboration with frontend developers, DevOps, and QA teams is frequent, requiring strong communication and problem-solving skills.

What is the difference between Senior Python Flask Developer vs Python Developer?

AspectSenior Python Flask DeveloperPython Developer
Required CredentialsBachelor's in CS or related, experience with Flask, REST APIsBachelor's in CS or related, basic Python knowledge
Work EnvironmentWeb development teams, startups, tech companiesSoftware development teams, startups, tech companies
Employer & Industry UsageTech firms, SaaS companies, startupsVariety of industries including finance, healthcare, tech
Search & Comparison IntentAdvanced roles, leadership, project scopeEntry to mid-level development, learning

The main difference between a Senior Python Flask Developer and a Python Developer lies in experience and responsibilities. Senior developers typically have more expertise in Flask, lead projects, and mentor junior staff, whereas Python Developers may focus on coding and basic application development. Both roles are essential in web development teams, but senior roles require deeper knowledge and leadership skills.

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

To thrive as a Senior Python Flask Developer, you need advanced proficiency in Python, deep understanding of the Flask framework, and experience designing scalable backend architectures, typically supported by a degree in computer science or related field. Familiarity with RESTful API development, database management systems like PostgreSQL or MySQL, and version control tools such as Git is essential, and certifications in cloud platforms or web development can be beneficial. Strong problem-solving skills, clear communication, and the ability to mentor junior developers are standout soft skills for this role. These abilities ensure efficient delivery of robust, maintainable web applications and foster productive collaboration within development teams.

What is the highest paid Python programmer?

Senior Python Flask developers with extensive experience, specialized skills, and knowledge of frameworks and cloud services tend to earn the highest salaries among Python programmers. Top earners often work in industries like finance, technology, or data science and may hold advanced certifications or leadership roles. Salary levels vary based on location, company size, and individual expertise.

Is Flask a backend or frontend?

Flask is a lightweight Python web framework used for building backend applications and APIs. It handles server-side logic, data processing, and routing, but does not manage frontend user interfaces directly. Developers often combine Flask with frontend technologies like HTML, CSS, and JavaScript to create complete web applications.
What are the most commonly searched types of Python Flask Developer jobs in Framingham, MA? The most popular types of Python Flask Developer jobs in Framingham, MA are:
What job categories do people searching Senior Python Flask Developer jobs in Framingham, MA look for? The top searched job categories for Senior Python Flask Developer jobs in Framingham, MA are:
What cities near Framingham, MA are hiring for Senior Python Flask Developer jobs? Cities near Framingham, MA with the most Senior Python Flask Developer job openings:
Infographic showing various Senior Python Flask Developer job openings in Framingham, MA as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 5% Full Time, 81% Part Time, and 8% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $146,039 per year, or $70.2 per hour.

Generative AI / NLP Engineer

Prophecy Technologies

Woonsocket, RI

Full-time

Posted 6 days ago


Job description

JOB SUMMARY:
The Generative AI / NLP Engineer is responsible for designing, developing, and deploying AI-powered applications using deep learning, Natural Language Processing (NLP), and Large Language Models (LLMs). The role involves building scalable GenAI solutions, implementing prompt engineering techniques, and integrating vector databases for AI-driven data retrieval. The engineer will develop Python-based machine learning solutions, orchestrate LLM workflows using frameworks like LangChain, and deploy AI applications on cloud platforms such as Azure or GCP.
Key Responsibilities
  • Design and develop Generative AI and NLP solutions using deep learning techniques.
  • Build, fine-tune, and deploy LLM-based applications using Python.
  • Implement prompt engineering strategies and vector database integrations for AI-powered data retrieval.
  • Develop deep learning models for text classification, sentiment analysis, summarization, and other NLP tasks.
  • Build rapid AI applications using Streamlit, FastAPI, and Flask frameworks.
  • Implement LLM orchestration using frameworks such as LangChain or similar tools.
  • Deploy and scale machine learning models on cloud platforms such as Azure or Google Cloud Platform (GCP).
  • Design and implement agentic AI architectures and multi-agent systems using frameworks like AutoGen or similar tools.
  • Collaborate with cross-functional teams to design scalable, production-ready AI solutions.
  • Ensure AI models are optimized for performance, scalability, and reliability.

Required Skills & Experience
  • 6+ years of experience in software development, data science, or data analytics.
  • Minimum 2 years of hands-on experience in Generative AI, NLP, and deep learning models.
  • Strong expertise in Python programming for AI/ML development.
  • Hands-on experience with TensorFlow, PyTorch, and Hugging Face Transformers.
  • Strong understanding of Large Language Models (LLMs) and real-world applications.
  • Experience implementing prompt engineering techniques for GenAI solutions.
  • Experience working with vector databases for AI-driven data storage and retrieval.
  • Familiarity with LLM orchestration frameworks such as LangChain.
  • Experience deploying AI/ML solutions on Azure or Google Cloud Platform (GCP).

Competencies
  • Strong analytical and problem-solving skills.
  • Ability to design scalable AI architectures and production-ready ML systems.
  • Strong collaboration and communication skills to work with cross-functional teams.
  • Ability to adapt to rapidly evolving AI technologies and frameworks.

Preferred Skills
  • Experience with agentic AI architectures and multi-agent frameworks (AutoGen or similar).
  • Knowledge or experience in the healthcare domain.
  • Experience with AI-powered enterprise applications and scalable ML pipelines.