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Full Stack Software Engineer Jobs in Andover, MA

BIRDSVUE LLC

Full Stack AI Engineer

Dunstable, MA · Remote

$60 - $70/hr

Competitive salary Full Stack AI Engineer Introduction: We are seeking a highly motivated Full ... Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.

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Full Stack Software Engineer information

See Andover, MA salary details

$45.1K

$136.5K

$192.9K

How much do full stack software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full stack software engineer in Andover, MA is $136,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a full stack software engineer?

A full stack software engineer develops all aspects of a software application, from the user interface to the back-end database. As a full stack software engineer, your job duties include gathering customer requirements, writing the code to develop the application, and troubleshooting the application for any issues. The qualifications to pursue a career as a full stack software engineer include an associate or bachelor’s degree in computer science, software engineering, or a related field and proficiency in a variety of coding languages and frameworks.

What are the key skills and qualifications needed to thrive as a full stack software engineer, and why are they important?

To thrive as a Full Stack Software Engineer, you need strong proficiency in both front-end (e.g., HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, Java) development, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks (like React or Angular), version control (such as Git), databases (SQL/NoSQL), and cloud platforms is essential, and certifications like AWS Certified Developer can be beneficial. Problem-solving ability, collaboration, and adaptability are vital soft skills that help engineers navigate complex projects and work effectively in teams. These skills ensure the ability to deliver robust, scalable, and user-friendly applications that meet dynamic business needs.

How do full stack software engineers typically collaborate with other team members during a development project?

Full Stack Software Engineers often work closely with front-end and back-end developers, UI/UX designers, product managers, and QA testers throughout the software development lifecycle. Collaboration typically involves participating in agile ceremonies such as daily stand-ups, sprint planning, and code reviews to ensure alignment and progress. They are expected to communicate effectively across disciplines, help troubleshoot issues that span both client and server sides, and contribute to shared documentation. This collaborative environment helps ensure that solutions are cohesive, scalable, and meet user requirements.

What is the difference between Full Stack Software Engineer vs Front End Developer?

AspectFull Stack Software EngineerFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases.Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Work EnvironmentWorks on both server and client-side development, often involved in full project lifecycle.Focuses primarily on designing and implementing user interfaces and user experience.
Common UsageUsed in full-stack development teams, startups, and projects requiring versatile developers.Found in teams emphasizing UI/UX, web design, and front-end frameworks.

While both roles require strong JavaScript skills, Full Stack Software Engineers handle both front-end and back-end development, whereas Front End Developers focus solely on the user interface and experience. The choice depends on whether you prefer a broader development scope or specialization in UI design.

Are full stack software engineers in demand?

Full stack software engineers are in high demand due to their ability to work on both front-end and back-end development, making them valuable in many industries. Companies seek these professionals for their versatility, often requiring knowledge of frameworks, programming languages, and tools like JavaScript, Python, and cloud platforms. The demand is expected to grow as digital transformation continues across sectors.

Can I learn full stack software engineer in 3 months?

Becoming a full stack software engineer in three months is challenging, as it typically requires several months to years of consistent learning to gain proficiency in both front-end and back-end development, including skills in programming languages, frameworks, databases, and version control. Intensive bootcamps or self-study programs can accelerate learning, but practical experience and project work are essential for job readiness.
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What cities near Andover, MA are hiring for Full Stack Software Engineer jobs?

Cities near Andover, MA with the most Full Stack Software Engineer job openings:

Full Stack Software Engineer jobs near you
Infographic showing various Full Stack Software Engineer job openings in Andover, MA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $136,504 per year, or $65.6 per hour.

Principal Full Stack AI Engineer

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 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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