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Full Time Full Stack Developer React Python Jobs in Massachusetts

BRUNT Workwear

AI Full Stack Developer

Reading, MA · On-site

Strong Python skills for backend services and API design (REST/GraphQL) paired with frontend ... Must be 18+ with full-time availability (including occasional off-hours support for critical ...

ERG

Senior Full Stack Developer

Concord, MA · On-site

$145K - $165K/yr

ERG is seeking experienced full-stack developers to join our digital solutions team. Interested ... Experience developing web applications using modern frameworks such as React/Redux, Angular, or Vue ...

BNY

Vice President, Full-Stack Engineer

Boston, MA · On-site

Develop and optimize backend services using Java, Spring Boot, Python, SQL, and Oracle, with a ... developer productivity, and opportunities to leverage AI-enabled tools for automation and ...

Diverse Lynx

Java Developer

Quincy, MA · On-site +1

$53.50 - $69.50/hr

Java Full Stack Developer Hands-on engineer capable of building custom intranet sites and applications with internal and external integrations. Strong experience with React| Java-based services| APIs ...

twenty80.io

Senior Full Stack Software Engineer

Boston, MA · On-site +1

$160K - $210K/yr

React, TypeScript, Next.js * Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI ... engineering experience * Strong full stack experience with modern JavaScript/TypeScript * Proven ...

Bugcrowd

Senior Full Stack Engineer

Boston, MA · Remote

Master's degree or relevant certifications (AWS Developer, Apigee API Engineer, etc.) preferred ... Strong proficiency in modern programming languages (e.g., Python, Java, Go, Node.js). Experience ...

Tutor

Full Stack Software Engineer

Watertown, MA · On-site

Required : • Strong programming skills in Python • Software engineering tooling: git, unix ... React • Background or interest in ML or robotics • Experience leading teams and projects ...

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Full Time Full Stack Developer React Python information

What is the difference between Full Time Full Stack Developer React Python vs Full Time Front End Developer?

AspectFull Time Full Stack Developer React PythonFull Time Front End Developer
Required SkillsReact, Python, JavaScript, HTML, CSS, database knowledgeJavaScript, HTML, CSS, UI/UX design, React or Angular
Work EnvironmentDevelops both client and server-side applications, often in cross-functional teamsFocuses on user interface and client-side features, collaborating with designers
Industry UsageUsed across tech, finance, healthcare, and e-commerce sectorsPrimarily in web development agencies, tech companies, and startups

Full Time Full Stack Developer React Python roles require a broader skill set, covering both front-end and back-end development, while Front End Developers focus mainly on user interface and client-side features. The choice depends on your interest in full system development versus UI design.

What are the most commonly searched types of Full Stack Developer React Python jobs in Massachusetts? The most popular types of Full Stack Developer React Python jobs in Massachusetts are:
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Full Time Full Stack Developer React Python jobs near you
AI Full Stack Developer

AI Full Stack Developer

BRUNT Workwear

Reading, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

We're leading the way in redefining the workwear category. Our mission is to engineer better boots and apparel for our country's tradesmen and women by working directly with real workers to learn what they actually need to execute their jobs.
The BRUNT team is not only devoted to improving on the old workwear standards, but we're also creating a community that tradesmen and women can call their own. From our weekly hangouts at the BRUNT Garage, to hosting events across the country, we're all about getting boots on the ground and building something real with the BRUNT crew.
WHAT YOU'LL DO:
BRUNT is a fast-growing workwear brand built for the trades, and we are making a deliberate, strategic investment in artificial intelligence as a core driver of business performance, operational efficiency, and competitive advantage. As our AI Full Stack Developer, you will be the technical heart of that investment, the person who designs, builds, and evolves the AI solutions that BRUNT's teams depend on to work smarter, move faster, and make better decisions.
Reporting to the SVP of Technology within the DevOps team, you will serve as BRUNT's principal AI engineering resource. You will own the design and development of a dedicated AI innovation environment within Google Cloud Platform, a sandbox project built for rapid prototyping and experimentation using Vertex AI, alongside a governed production GCP environment where approved AI solutions are deployed, maintained, and scaled for internal use. You will play a meaningful role in shaping how AI solutions are evaluated, approved, and governed, working as part of BRUNT's AI Council on strategy and serving as a technical voice in the process of moving workloads from experimentation into production.
Critically, this role extends beyond the codebase. You will be BRUNT's internal AI expert and advocate, engaging directly with business teams across Merchandising, Operations, Retail, Finance, and beyond to workshop ideas, surface and prioritize use case opportunities, gather feedback on deployed solutions, and provide the guidance and practical training that helps BRUNT employees get real value from the AI tools they use every day. You will be the person the organization turns to when they want to understand what AI can do for them, and how to do it safely and well.
HOW YOU'LL DO IT:
AI INFRASTRUCTURE & CLOUD ARCHITECTURE
  • GCP Environments: Design and maintain a dedicated GCP sandbox for rapid prototyping (Vertex AI / Gemini Enterprise) alongside a secure, governed production environment.
  • Infrastructure as Code: Implement Terraform across all cloud projects to ensure reproducible, version-controlled, and auditable provisioning.
  • Cloud Architecture: Design scalable patterns for internal tool deployment, including containerized services, managed APIs, and serverless compute.
  • Establish and maintain environment-level guardrails, access controls, and cost governance policies across both the sandbox and production GCP projects.

FULL STACK AI & LLM ENGINEERING
  • Application Development: Build full-stack internal applications from concept to production, owning both backend logic and model integration across Claude Enterprise and Gemini Enterprise platforms.
  • LLM Frameworks: Construct advanced automation solutions and internal agents using orchestration frameworks like LangChain and LangGraph.
  • Data & RAG Architecture: Partner with the Data Engineer to build RAG pipelines, vector data stores, and a governed semantic layer over Google BigQuery.
  • Develop and maintain APIs, backend services, and frontend interfaces that surface AI capabilities to BRUNT employees in intuitive, production-grade internal tools.
  • Implement prompt engineering, evaluation, and optimization practices that ensure AI outputs are accurate, consistent, and aligned with BRUNT's business requirements and brand standards.
  • Core Integrations: Connect internal AI applications to data streams from critical operational platforms, including Shopify, NetSuite, and Deposco.

GOVERNANCE & LIFECYCLE MANAGEMENT
  • AI Council Collaboration: Serve as a technical voice on BRUNT's AI Council to help evaluate use cases, guide governance, and define approval criteria.
  • Deployment Pipelines: Establish the technical framework, testing standards, and rollback protocols for transitioning experimental workloads into production.
  • Ensure that all AI solutions in production meet BRUNT's standards for security, data privacy, responsible AI use, and operational reliability.
  • Monitoring & Documentation: Track deployed solutions for performance and accuracy, maintaining clear documentation of prompt libraries, model configurations, and codebases.

BUSINESS ENABLEMENT & SPRINT EXECUTION
  • Cross-Functional Workshops: Partner directly with business teams to discover operational pain points and scope high-value AI solutions.
  • Serve as BRUNT's internal AI expert and first point of contact for employees who want to understand how AI tools can support their work, providing clear, accessible guidance that translates technical capability into practical business value.
  • Deliver periodic practical training and enablement sessions to help BRUNT employees effectively use approved AI tools.
  • Work within BRUNT's Agile sprint framework, managing AI development workload through Jira in 2-4 week cycles.
  • Maintain all application and infrastructure code in Git, following established branching, versioning, and documentation standards.

WHAT YOU NEED TO SUCCEED:
  • Experience: 6-8 years of full-stack software development experience, with a substantial, proven focus on deploying production AI/ML systems in the most recent phase of your career.
  • AI Platforms & Frameworks: Hands-on experience with both Google Gemini (Vertex AI) and Anthropic Claude platforms, utilizing advanced orchestration tools like LangChain and LangGraph.
  • Advanced AI Engineering: Proven track record designing and implementing Retrieval Augmented Generation (RAG) architecture, vector data stores, embedding pipelines, and agent frameworks.
  • Full-Stack Proficiency: Strong Python skills for backend services and API design (REST/GraphQL) paired with frontend capability (React, Next.js, or equivalent) to build internal tools end-to-end.
  • Data & Grounding Stack: Practical experience with Google BigQuery, specifically designing AI-consumable data access patterns, semantic layers, and grounding strategies.
  • Cloud Infrastructure & DevOps: Experience managing separated GCP environments (sandbox vs. production) utilizing Terraform for infrastructure-as-code, following Git-based workflows within Agile/Jira sprint cadences.
  • Experience with Git-based version control workflows and Agile/Scrum sprint environments using Jira or comparable project management tools.
  • Communication & Scoping: Exceptional ability to translate complex AI concepts to non-technical business teams, with proven success cross-functionally workshopping and requirement-gathering for new use cases.
  • The "Builder" Mindset: Comfort operating as a senior individual contributor with a high degree of ownership and autonomy in a lean team; experience contributing to AI governance and responsible AI practices is a strong plus.
  • E-Commerce Context (Plus): Familiarity with Shopify Plus, eCommerce platform architecture, or retail technology ecosystems is a meaningful advantage.
  • Logistics: Must be 18+ with full-time availability (including occasional off-hours support for critical production deployments) and the ability to reliably commute to the work location 4x per week.

In accordance with applicable salary transparency laws, we are providing the good-faith salary range for this position. This range reflects the base salary that we reasonably expect to pay for this position at the time of posting. The actual compensation offered will depend on factors such as qualifications, experience, skills, and budget.
Benefits & Perks:
  • Healthcare: Comprehensive medical, dental, and vision insurance options.
  • Retirement: 401(k) plan with Company Match.
  • Paid Time Off: 15 days of PTO, plus 11 paid holidays and sick leave.
  • Incentives: Performance-based bonus eligibility and Equity if applicable.

The anticipated salary range for this role is:
Compensation
$130,000-$160,000 USD
No matter what experience you have within our industry we encourage you to apply. At BRUNT, we believe that a strong crew is assembled with people from different backgrounds.
We look for individuals who thrive on challenges, will be passionate about our brand, and believe that teamwork is necessary for success. Show us how your experiences have shaped you and how you can contribute to BRUNT. We can't wait to hear from you!

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