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Stack Software Jobs in Boston, MA (NOW HIRING)

Deloitte

Cyber Full-Stack Software Engineer

Boston, MA · On-site

As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will ...

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How much do stack software jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for stack software in Boston, MA is $64.38, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $74.18 per hour, depending on experience, location, and employer.

What is a stack software engineer?

Stack Software Engineers, often referred to as Full Stack Software Engineers, are professionals who have expertise in both front-end and back-end development of software applications. They are capable of working on all layers of a software stack, including databases, servers, APIs, and user interfaces. This versatility enables them to take a project from concept to completion, handling both the client-facing and server-side aspects. Stack Software Engineers are in high demand due to their broad skill set and ability to collaborate across different parts of a development team.

How does a stack software engineer typically collaborate with other teams during the development process?

Stack Software Engineers work closely with various teams, including front-end and back-end developers, designers, QA testers, and product managers. They participate in agile ceremonies, code reviews, and sprint planning sessions to ensure alignment on project goals and technical implementation. Collaboration often involves frequent communication to troubleshoot issues, integrate new features, and optimize existing systems. This cross-functional teamwork is essential for delivering robust, user-friendly software solutions that meet business objectives.

What are the key skills and qualifications needed to thrive as a stack software engineer?

To thrive as a Stack Software Engineer, you need strong proficiency in programming languages such as JavaScript, Python, or Java, along with a solid understanding of both front-end and back-end development. Experience with frameworks (like React or Node.js), version control systems (such as Git), and database management is typically expected, and certifications in relevant technologies can be advantageous. Strong problem-solving, collaboration, and communication skills help you work effectively within agile teams and deliver robust solutions. These skills ensure you can build, maintain, and scale full-stack applications efficiently, meeting project goals and user needs.
What cities near Boston, MA are hiring for Stack Software jobs? Cities near Boston, MA with the most Stack Software job openings:
Stack Software jobs near you

Principal Full Stack AI Engineer

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

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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