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Full Stack Application Developer Jobs in Byfield, MA

Conch Technologies Inc

Java Full Stack Developer

Boston, MA · On-site

$57 - $73.50/hr

Senior Java Full Stack Developer Location: Boston, MA (4 Days/Week Onsite) Duration: 12+ Months ... Participate in application design, coding, testing, and deployment activities * Troubleshoot and ...

Teledyne

Full Stack Developer

Billerica, MA · On-site

$90K - $121K/yr

Position Summary The Full Stack Developer will play a key role in designing, developing, and ... Design, develop, enhance, and maintain a centralized business application for data management and ...

Teledyne FLIR LLC

Full Stack Developer

Billerica, MA · On-site

$90K - $121K/yr

Position Summary The Full Stack Developer will play a key role in designing, developing, and ... Design, develop, enhance, and maintain a centralized business application for data management and ...

Scadea

Full Stack Engineer

Boston, MA · On-site

Full Stack Engineer Location: Boston, MA - 5 days a week onsite is required Length: 6-10 months Top ... Troubleshoot, debug, and optimize application performance across the stack Skills & Experience

Winaxis

Full Stack Developer

Boston, MA · On-site

Full stack Developer will be responsible for designing, developing, and maintaining our web applications and services. The ideal candidate will have extensive experience in front and backend ...

Winaxis

Full Stack Developer

Boston, MA · On-site

$35 - $42/mo

Full stack Developer will be responsible for designing, developing, and maintaining our web applications and services. The ideal candidate will have extensive experience in front and backend ...

Winaxis

Full Stack Developer

Boston, MA · On-site

$32 - $42/hr

Full stack Developer will be responsible for designing, developing, and maintaining our web applications and services. The ideal candidate will have extensive experience in front and backend ...

CNCSINFOTECH LLC

Full-Stack Developer (Java)

Boston, MA · On-site

$57 - $73.50/hr

Our teams are highly trained in best practices of web and application developments and are managed ... Ideally looking for a full stack developer with experience in Java and Java based Web based ...

Winaxis

Full Stack Developer

Boston, MA · On-site

Full stack Developer will be responsible for designing, developing, and maintaining our web applications and services. The ideal candidate will have extensive experience in front and backend ...

Winaxis

Full Stack Developer

Boston, MA · On-site

Full stack Developer will be responsible for designing, developing, and maintaining our web applications and services. The ideal candidate will have extensive experience in front and backend ...

Novia Infotech

NEED AI FULL STACK DEVELOPER

Boston, MA · On-site

SENIOR AI FULL STACK DEVELOPER Job Type: Contract/FTE Location: Boston, MA | Hybrid / Remote JOB ... Troubleshoot, optimize, and continuously improve application performance and AI workflows. MUST ...

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All JobsFull Stack Application Developer JobsFull Stack Application Developer Jobs in Byfield, MA

Full Stack Application Developer information

See Byfield, MA salary details

$25

$63

$91

How much do full stack application developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for full stack application developer in Byfield, MA is $63.35, according to ZipRecruiter salary data. Most workers in this role earn between $52.69 and $72.98 per hour, depending on experience, location, and employer.

What is a full stack application developer?

A Full Stack Application Developer is a software professional who is skilled in both front-end and back-end development. This means they can work on the user interface, server-side logic, databases, and sometimes even deployment and infrastructure. Full Stack Developers are versatile and can handle multiple aspects of building and maintaining web applications. Their broad skill set allows them to work across the entire technology stack, making them valuable assets to development teams.

What are the key skills and qualifications needed to thrive as a full stack application developer?

To thrive as a Full Stack Application Developer, you need strong proficiency in both front-end and back-end programming languages (such as JavaScript, HTML/CSS, Node.js, Python, or Java) and a solid understanding of software development principles. Familiarity with frameworks like React or Angular, database systems (SQL or NoSQL), version control (Git), and potentially certifications like AWS Certified Developer are commonly expected. Problem-solving, adaptability, and effective communication are vital soft skills, enabling collaboration and efficient troubleshooting. These combined skills ensure the ability to independently build, maintain, and scale robust applications that meet user and business needs.

What are some common challenges full stack application developers face when managing both front-end and back-end tasks?

Full Stack Application Developers often encounter the challenge of balancing priorities between front-end user experience and back-end system performance. Staying proficient in a wide range of technologies and frameworks can be demanding, especially as projects scale or new tools are adopted. Effective communication with both UI/UX designers and server-side engineers is essential to ensure cohesive integration and smooth workflows. Adapting to frequent context switching and troubleshooting across the entire stack requires strong organizational skills and a proactive approach to learning.

What cities near Byfield, MA are hiring for Full Stack Application Developer jobs?

Cities near Byfield, MA with the most Full Stack Application Developer job openings:

Full Stack Application Developer jobs near you
Infographic showing various Full Stack Application Developer job openings in Byfield, MA as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $131,761 per year, or $63.3 per hour.

Principal Full Stack AI Engineer

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical

Job description

Job Description
Position Summary
Vertex is seeking an AI Full-Stack Engineer to create the next generation of AI-powered applications and agents that deliver practical value across internal and user-facing experiences. This role will own solutions end to end-from user experience and application services to agent orchestration, data access, platform integration, deployment, and production operations.
The ideal candidate combines strong full-stack software engineering fundamentals with hands-on experience building AI-enabled products. This individual will use a forward deployed engineering mindset to work closely with stakeholders, rapidly iterate on real-world use cases, connect applications and agents to enterprise systems, and continuously improve quality through measurement and feedback. The AI Full-Stack Engineer will help shape how secure, reliable, and scalable AI solutions are adopted across Vertex.
Key Responsibilities
  • Design, build, and productionize full-stack AI applications, agents, and multi-step workflows for internal and user-facing use cases

  • Apply a forward deployed engineering approach by working closely with end users, product teams, and business stakeholders to solve real workflow problems quickly and effectively

  • Build agents that can reason across steps, invoke tools, call APIs, retrieve information, and take actions within defined enterprise guardrails

  • Own end-to-end solution delivery across user interfaces, application services, APIs, data access, agent orchestration, and integrations with internal platforms, third-party applications, and business-critical systems

  • Develop reusable agent patterns, components, prompts, tools, and orchestration logic that can be scaled across use cases

  • Rapidly iterate on agent behavior based on usage data, qualitative feedback, evaluation results, and operational metrics

  • Improve agent quality through testing, experimentation, benchmarking, and structured measurement of outcomes

  • Partner with platform, integration, data, security, and product teams to ensure agents are secure, reliable, maintainable, and aligned with enterprise architecture

  • Help define best practices for agent design, tool use, fallback behavior, escalation paths, and human-in-the-loop workflows

  • Support the complete software lifecycle, including architecture, development, integration, deployment, monitoring, troubleshooting, and optimization in production environments

  • Contribute to observability practices for agent execution, including logging, tracing, performance tracking, and issue analysis

  • Ensure solutions are designed with security, compliance, and responsible AI principles in mind

  • Stay current on emerging patterns, frameworks, and technologies in generative AI and agentic systems, and translate them into practical applications for Vertex

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field; equivalent practical experience may be considered

  • Experience in full-stack software engineering, AI engineering, machine learning engineering, or intelligent application development

  • Hands-on experience building and operating production applications powered by large language models, AI workflows, or agentic systems

  • Experience designing and delivering end-to-end applications across front-end, back-end, APIs, data stores, and enterprise systems

  • Demonstrated experience using AI-assisted software development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code across complex enterprise systems.

  • Deep understanding of AI-native software engineering practices and experience establishing standards, governance, and best practices for the responsible use of AI coding assistants and software engineering agents across engineering teams

  • Demonstrated ability to move from prototype to production while balancing speed, quality, and operational rigor

  • Experience working directly with users or stakeholders to iteratively refine technical solutions based on real-world needs

  • Strong problem-solving and systems-thinking skills

  • Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams

Technical Skills Required
  • Full-stack application development across modern front-end and back-end technologies

  • Large language model application development

  • Agentic workflow design and orchestration

  • Prompt engineering and prompt iteration

  • Tool use and API integration for AI agents

  • Multi-step workflow automation

  • Rapid prototyping and productionization

  • Evaluation, testing, and quality measurement for AI systems

  • Application logging, monitoring, and observability

  • API design, service development, data modeling, and application architecture

  • Distributed systems and service integration

  • Secure software development practices

  • Enterprise application integration

  • Cloud-based application development

  • Version control, CI/CD, and deployment practices

Preferred Skills
  • Experience using a forward deployed engineering or similar embedded delivery model

  • Experience building internal copilots, assistants, or task-oriented AI agents

  • Familiarity with orchestration frameworks, agent runtimes, tool-calling architectures, and retrieval patterns

  • Experience integrating with enterprise collaboration tools, workflow systems, document platforms, or knowledge repositories

  • Familiarity with evaluation frameworks for AI quality, groundedness, task completion, and reliability

  • Experience designing human-in-the-loop workflows and safe failure or escalation mechanisms

  • Exposure to AI observability, tracing, and operational analytics

  • Experience in regulated industries such as biotechnology, pharmaceuticals, healthcare, or life sciences

#LI-Hybrid
Pay Range:
$166,640 - $250,000
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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