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Full Stack Ai Engineer Jobs in Boston, MA (NOW HIRING)

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Principal Full Stack AI Engineer

Boston, MA · On-site

$200K - $220K/yr

We're looking for a Principal Full Stack AI Engineer who ships fast, designs systems that last, and holds a high-quality bar across a team that builds with AI every day. Team Dynamic We move fast ...

Validity

Principal Full Stack AI Engineer

Boston, MA · On-site

We're looking for a Principal Full Stack AI Engineer who ships fast, designs systems that last, and holds a high-quality bar across a team that builds with AI every day. Team Dynamic We move fast ...

Vrtx

Principal Full Stack AI Engineer

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The AI Full-StackEngineer willhelp shapehowsecure, reliable, and scalable AI solutionsare adopted ... Apply a forward deployed engineering approach by working closely with end users, product teams, and ...

Vrtx

Principal Full Stack AI Engineer

Boston, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The AI Full-StackEngineer willhelp shapehowsecure, reliable, and scalable AI solutionsare adopted ... Apply a forward deployed engineering approach by working closely with end users, product teams, and ...

Vrtx

Principal Full Stack AI Engineer

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience in software engineering, AI/application engineering, or platform engineering, including shipping production services * Full-stack development experience in Python and/or TypeScript ...

Validity

Principal Full Stack AI Engineer

Boston, MA · On-site

$200 - $220/hr

... of engineering experience shipping impactful products * Deep full-stack experience with React, Next.js, TypeScript, and PostgreSQL * 2+ years building agentic AI systems * Demonstrated ability to ...

Vertex Pharmaceuticals

Principal Full Stack AI Engineer

Boston, MA · On-site

$150 - $250/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position SummaryVertex is seeking an Agent Engineer, Agentic AI Platform to help create the next generation of AI agents that deliver practical value across internal and user-facing experiences. This ...

Validity

Full Stack AI Software Engineer I

Boston, MA · On-site

$100K - $120K/yr

We're looking for a Full Stack AI Software Engineer I with exceptional fundamentals, sharp instincts, and the drive to build production software from day one. This is a hybrid office-based position ...

Validity

Full Stack AI Software Engineer I

Boston, MA · On-site

We're looking for a Full Stack AI Software Engineer I with exceptional fundamentals, sharp instincts, and the drive to build production software from day one. This is a hybrid office-based position ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools, focusing on applied AI research and full-stack software ...

Axon

Sr. Full Stack Member of Technical Staff

Boston, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and ... Architect and optimize full-stack AI pipelines, including: * Translate research advances in ...

Klaviyo

Senior AI Application Engineer

Boston, MA · On-site

They are seeking a Senior AI Application Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools, focusing on applied AI research and full-stack ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Boston, MA

Full Stack Ai Engineer information

See Boston, MA salary details

$48.3K

$146.4K

$207K

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

As of Aug 13, 2026, the average yearly pay for full stack ai engineer in Boston, MA is $146,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $171,600.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

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

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

What are popular job titles related to Full Stack Ai Engineer jobs in Boston, MA?

For Full Stack Ai Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Boston, MA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Full Stack Ai Engineer jobs?

Cities near Boston, MA with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $146,413 per year, or $70.4 per hour.

Principal Full Stack AI Engineer

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 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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