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Senior Python Flask Developer Jobs in Massachusetts

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 ... Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... 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 ...

Helenoftroy

Sr. AI Analytics Engineer

Marlborough, MA · Hybrid

OXO,Hydro Flask,Osprey,Honeywell,PUR,Braun,Vicks,Hot Tools,Drybar,Curlsmith,Revlon, andOlive & June ... Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled ...

Klaviyo

Senior AI Application Engineer

Boston, MA · On-site

... 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 ...

Veracode

Sr QA Engineer

Burlington, MA · On-site

Python skills for instrumenting tests and creating feature test page * Java knowledge for ... Apache/mod_wsgi, Flask, Postgres * Experience in a cross platform environment * iOS / Android ...

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Senior Python Flask Developer information

What is a senior Python Flask developer?

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 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 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 popular job titles related to Senior Python Flask Developer jobs in Massachusetts?

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Cities in Massachusetts with the most Senior Python Flask Developer job openings:

Senior Python Flask Developer jobs near you

Senior Software Engineer, Applied AI

Cambridge, MA • On-site

Lila Sciences
See more jobs at Lila Sciencesexternal

$133K - $176K/yr

Full-time

Re-posted 15 days ago

Job description

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You'll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI-turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You'll Be Building

  • Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
  • API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
  • Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
  • Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
  • Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
  • Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.
  • Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.

What You'll Need to Succeed

  • Educational Background: Bachelor's or Master's in Computer Science, Engineering, or a related field.
  • Backend & Data Expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
  • Programming Skills: Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
  • Databases: Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
  • Applied AI Systems: Hands-on experience integrating ML models or AI-driven workflows into production services.
  • Cloud & DevOps: Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.
  • Communication & Problem-Solving: Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.

Bonus Points For

  • Scientific & Data-Intensive Domains: Experience working with life sciences, materials sciences, or other research-heavy fields.
  • Startup Experience: Comfort with fast-paced, iterative environments where impact and adaptability matter.

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