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Flask Developer Jobs in Boston, MA (NOW HIRING)

Klaviyo

Senior AI Application Engineer

Boston, MA · On-site

... FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend ... engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights ...

Veracode

Sr Software Engineer in Test - Python

Burlington, MA · On-site

$120K - $156K/yr

... our DevOps engineering teams to develop and execute test plans and test automation, based on ... Flask and/or SQLAlchemy strongly preferred. • Experience with Buildbot CI system a plus. • ...

SS&C Technologies

Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

Collaborate cross-functionally with product and engineering teams to solve real customer problems ... React, Spring Boot, Express, Flask APIs & Protocols: REST, GraphQL, gRPC, Protobuf, AsyncAPI Data ...

SS&C

Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Collaborate cross-functionally with product and engineering teams to solve real customer problems ... React, Spring Boot, Express, Flask APIs & Protocols: REST, GraphQL, gRPC, Protobuf, AsyncAPI Data ...

Helen of Troy

Sr. AI Analytics Engineer

Marlborough, MA · On-site

$108K - $148K/yr

OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and ... Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD ...

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Flask Developer information

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How much do flask developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for flask developer in Boston, MA is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $70.24 per hour, depending on experience, location, and employer.

What is a Flask developer?

Flask Developers are software professionals who specialize in building web applications using the Flask framework, a lightweight and flexible web framework for Python. Their responsibilities typically include designing, developing, testing, and deploying web applications, as well as integrating databases, APIs, and front-end technologies. Flask Developers often work on projects that require rapid prototyping, microservices, or minimalistic web solutions due to Flask's simplicity and modularity.

What are the key skills and qualifications needed to thrive as a Flask developer?

To thrive as a Flask Developer, you need strong proficiency in Python programming, web development fundamentals, and a solid understanding of the Flask microframework. Familiarity with tools like Git, RESTful APIs, SQL/NoSQL databases, and experience deploying applications using cloud services or containerization (e.g., Docker) are typically required. Effective problem-solving, attention to detail, and strong communication skills help developers collaborate efficiently and create robust, scalable solutions. These skills and qualities are essential for building secure, maintainable web applications that meet both technical and business requirements.

What are the common challenges Flask developers face when working on large-scale applications?

Flask Developers often encounter challenges related to scalability and maintainability when building large-scale applications, as Flask is a microframework that provides flexibility but requires careful planning of architecture. Managing complex codebases, integrating multiple extensions, and ensuring consistent coding standards across teams can be tricky. Effective communication and collaboration with front-end developers, DevOps, and QA teams are essential to maintain smooth workflows. Adopting best practices for project structure, modular code, and thorough documentation helps address these challenges and supports long-term project success.

What is the difference between Flask Developer vs Django Developer?

AspectFlask DeveloperDjango Developer
Required CredentialsProficiency in Python, basic web development skillsProficiency in Python, web frameworks, and often more extensive experience
Work EnvironmentLightweight, flexible projects, microservicesFull-stack applications, larger projects, enterprise solutions
Industry UsageStartups, small to medium projectsLarge-scale applications, enterprise-level projects
Common Search/ComparisonYesYes

Flask Developers typically work on lightweight, flexible web applications and microservices, making them ideal for startups and small projects. Django Developers focus on full-stack, scalable applications suitable for larger, enterprise-level projects. Both roles require strong Python skills, but Django Developers often have additional experience with comprehensive web frameworks and database management.

What are the most commonly searched types of Flask Developer jobs in Boston, MA?

The most popular types of Flask Developer jobs in Boston, MA are:

What are popular job titles related to Flask Developer jobs in Boston, MA?

For Flask Developer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Flask Developer jobs in Boston, MA look for?

The top searched job categories for Flask Developer jobs in Boston, MA are:

Flask Developer jobs near you
Infographic showing various Flask Developer job openings in Boston, MA as of August 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,386 per year, or $57.4 per hour.

Senior AI Application Engineer

Boston, MA • On-site

Klaviyo
Marketing • 1 - 5K employees
Learn more about Klaviyoexternal

Full-time

Re-posted yesterday

Job description

Job Summary:
Klaviyo is a company that empowers creators by making first-party data accessible and actionable. They are seeking a Senior AI Application Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools, focusing on applied AI research and full-stack software engineering.
Responsibilities:
• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.
Qualifications:
Required:
• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.
Company:
Klaviyo is an automation and email platform designed to help grow businesses. Founded in 2012, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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