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Ai Web Developer Jobs in Massachusetts (NOW HIRING)

Sr. Optimizely Developer

Boston, MA · Remote

$124K - $164K/yr

Join a fast-moving digital marketing team that is investing heavily in modern web technology ... Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation ...

Senior Web Marketing Manager

Boston, MA · On-site

$120K - $163K/yr

Leveraging AI-powered intelligence, Delinea's leading cloud-native Identity Security Platform ... Our success is driven by world-class product leadership, outstanding engineers, and strategic ...

New

Senior .NET Developer Optimizely

Salem, MA · Remote

$59.50 - $78.75/hr

Join a fast-moving digital marketing team that is investing heavily in modern web technology ... Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation ...

Senior .NET Developer Optimizely

Quincy, MA · Remote

$57.25 - $75.75/hr

Join a fast-moving digital marketing team that is investing heavily in modern web technology ... Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation ...

Senior Optimizely CMS Developer

Salem, MA · Remote

$125K - $165K/yr

Join a fast-moving digital marketing team that is investing heavily in modern web technology ... Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation ...

$116K - $153K/yr

Join a fast-moving digital marketing team that is investing heavily in modern web technology ... Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation ...

Senior CMS Developer Optimizely

Boston, MA · Remote

$124K - $164K/yr

Join a fast-moving digital marketing team that is investing heavily in modern web technology ... Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation ...

Showing results 41-60

Ai Web Developer information

See Massachusetts salary details

$18

$49

$78

How much do ai web developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai web developer in Massachusetts is $49.28, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $59.62 per hour, depending on experience, location, and employer.

What is an AI web developer?

An AI Web Developer is a professional who specializes in building and maintaining web applications that incorporate artificial intelligence technologies. They use programming languages, frameworks, and AI tools to create websites or web-based applications that can perform intelligent tasks, such as natural language processing, image recognition, or personalized recommendations. Their work often involves integrating machine learning models, handling data processing, and ensuring the seamless interaction between AI components and the user interface. AI Web Developers play a crucial role in bringing smart, interactive features to modern websites and applications.

How does an AI web developer typically collaborate with data scientists and UX designers on projects?

AI Web Developers often work closely with data scientists to integrate machine learning models into web applications, ensuring that models are accessible and performant for end users. Collaboration with UX designers is also common, as developers need to create user interfaces that effectively present AI-driven features or insights. Regular communication and agile workflows help align technical solutions with user needs and business goals, making teamwork and cross-functional meetings a key part of the daily routine.

What are the key skills and qualifications needed to thrive as an AI web developer, and why are they important?

To thrive as an AI Web Developer, you need a solid background in web development (HTML, CSS, JavaScript) combined with knowledge of machine learning concepts and programming languages like Python or Java. Familiarity with frameworks such as TensorFlow, PyTorch, React, and cloud platforms (AWS, Azure) is often required, along with a relevant degree or certifications. Strong problem-solving skills, creativity, and effective communication set exceptional professionals apart in this role. These competencies enable the creation of intelligent, user-friendly web applications that effectively leverage AI technologies to solve real-world problems.

What is the difference between Ai Web Developer vs Web Developer?

AspectAi Web DeveloperWeb Developer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI/ML frameworksBachelor's in CS or related fields; proficiency in HTML, CSS, JavaScript
Work EnvironmentTech companies, AI-focused projects, collaborative teamsWeb development agencies, corporate websites, freelance
Industry UsageEmerging AI integration in web apps, innovative tech firmsTraditional website and app development across industries

The main difference is that Ai Web Developers specialize in integrating AI and machine learning into websites, requiring knowledge of AI frameworks, whereas Web Developers focus on building and maintaining standard websites using traditional coding skills. Both roles often work in tech environments but serve different project needs.

What job categories do people searching Ai Web Developer jobs in Massachusetts look for?

The top searched job categories for Ai Web Developer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Ai Web Developer jobs?

Cities in Massachusetts with the most Ai Web Developer job openings:

Infographic showing various Ai Web Developer job openings in Massachusetts as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,493 per year, or $49.3 per hour.

Senior AI Full Stack Engineer

National Grid

Waltham, MA • Hybrid

Full-time

Posted 6 days ago


Key responsibilities

  • Design and develop full-stack AI applications and conversational interfaces using TypeScript, React, and modern web technologies.

  • Work directly with product owners, engineers, data teams, and stakeholders to turn strategic requirements into usable, valuable product experiences.

  • Implement AI agents, workflows, and integrations to support analysis, chat, and automation within internal platforms.


National Grid rating

8.5

Company rating: 8.5 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

17th of 53 rated energy and utility


Job description

About us

At National Grid, we keep people connected and society moving. But it's so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Senior AI Full Stack Engineer and find your superpower. 

This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.

An immediate focus for the role is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.

The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and - where appropriate - AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.

This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.

This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic

Job Purpose

We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.

This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.

An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.

The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.

The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.

This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.

Key Accountabilities
AI Product Development
  • Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.
  • Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.
  • Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.
  • Translate business requirements into scalable, maintainable technical solutions.
  • Create reusable patterns for AI chat, workflow automation, content generation, and analytics.
  • Integrate AI capabilities into existing products and business processes.
  • Ensure high standards of performance, security, accessibility, maintainability, and code quality.
Agentic Systems & Conversational AI
  • Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.
  • Develop integrations with enterprise applications, APIs, and approved data sources.
  • Define agent state, memory, context management, validation rules, retry logic, and failure handling.
  • Implement human-in-the-loop approval processes for sensitive or high-impact actions.
  • Ensure transparency through source attribution, execution tracking, and auditability.
AI Quality, Evaluation & Observability
  • Develop evaluation frameworks, test datasets, and quality metrics for AI features.
  • Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.
  • Implement logging, tracing, monitoring, and observability capabilities for AI workflows.
  • Continuously improve prompts, models, tools, and workflows through data-driven feedback.
  • Manage prompts, model configurations, and evaluation criteria as version-controlled assets.
Data & Integration
  • Integrate AI capabilities with structured and unstructured enterprise data sources.
  • Implement retrieval, grounding, and context-engineering strategies to improve response quality.
  • Build secure integrations with APIs, content management systems, data platforms, and business applications.
  • Ensure compliance with data security, authorization, governance, and audit requirements.
  • Support source attribution, data lineage, and information freshness controls.
Engineering & Delivery
  • Write clean, tested, maintainable code following established engineering standards.
  • Participate in architecture reviews, technical design discussions, and code reviews.
  • Implement automated testing across applications, integrations, and AI workflows.
  • Support continuous delivery while managing technical debt and maintaining enterprise standards.
  • Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.
Collaboration & Leadership
  • Partner with Product, Design, Architecture, Security, Data, and Engineering teams.
  • Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.
  • Communicate technical recommendations, trade-offs, and risks to stakeholders.
  • Mentor engineers and contribute to AI engineering standards and best practices.
  • Help establish scalable frameworks for enterprise AI product delivery.
Qualifications
  • Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.
  • Strong professional experience with TypeScript and React.
  • Experience building modern full-stack web applications using frameworks such as Next.js.
  • Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.
  • Experience with the Vercel AI SDK or comparable AI application frameworks.
  • Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.
  • Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.
  • Experience integrating large language models with application data and external services.
  • Ability to design clear boundaries between deterministic code and model-driven behaviour.
  • Strong understanding of API design, authentication, authorisation and secure data handling.
  • Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.
  • Understanding of AI evaluation, observability, grounding and common failure modes.
  • Ability to translate ambiguous product requirements into sound technical designs and working software.
  • Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.
  • Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.
  • Clear written and verbal communication with both technical and non-technical audiences.
  • High degree of autonomy and ownership from discovery through production support.

#LI-RK1 #LI-HYBRID

Salary

Waltham: $129k - $151k a year

Brooklyn: $137k - $161k a year

National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.


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