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

NET Full Stack Engineer with strong Angular, Azure, C#, and SQL expertise to join a rapid ... AI-assisted development tools (preferably Cursor) for coding acceleration, refactoring, and test ...

Full Stack Engineer Location: Boston, MA - 5 days a week onsite is required Length: 6-10 months Top Skills Required: Top must haves: Java & AWS - with some exposure to React is fine Must be a team ...

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and ... Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with ...

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 ... Familiarity with AI development tools Responsibilities * Design, develop, and maintain full-stack ...

Tutor is an AI robotics company focused on building general-purpose robots that integrate seamlessly into various industries. The role of Full Stack Software Engineer involves architecting and ...

Develop full-stack AI applications with both frontend and backend components * Optimize model ... Expert-level Python programming skills * Strong proficiency in JavaScript and Java * Deep ...

Showing results 41-60

Full Stack Ai Engineer information

See Boston, MA salary details

$48.3K

$146.4K

$206.9K

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

As of Sep 1, 2026, the average yearly pay for full stack ai engineer in Boston, MA is $146,397.00, 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.

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.

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 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:

Infographic showing various Full Stack Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $146,397 per year, or $70.4 per hour.

Senior Engineer, Full Stack Engineering

Trinity Life Sciences

Waltham, MA • On-site

$128K - $192K/yr

Full-time

Posted 21 days ago


Job description

Senior Full Stack Software Engineer

Location: Waltham, MA; New York, NY; Princeton, NJ

Employment Type: Full-Time

Work Mode: Hybrid

Position Summary

We'relooking for an exceptional engineer who loves building cloud-native applications with AI at their core. If you thrive where modern infrastructure meets intelligent software, this is your role.

What You'll Do

  • Architect and ship scalable cloud apps on AWS, Azure, or GCP (Lambda, ECS, Kubernetes) with event-driven microservices and serverless architectures
  • Build AI/ML integrations using modern frameworks while driving best practices for prompt engineering, RAG patterns, and agent orchestration
  • Lead technical architecture decisions, code reviews, and define development standards and technical roadmaps
  • Own the full stack-from pixel-perfect, accessible UI implementation to robust Django REST andGraphQLAPIs
  • Build real-time features using WebRTC,WebSockets, and Server-Sent Events
  • Create and enforce engineering excellence through coding standards, comprehensive testing strategies (unit, integration, agent-based, E2E), documentation, and deployment patterns
  • Champion DevOps practices, security compliance, and CI/CD pipelines whileestablishingobservability with APM tools
  • Lead and mentor teams through agile delivery,establishingengineering culture through technical leadership and knowledge sharing
  • Collaborate with data engineering teams on pipeline integration and consumption patterns
  • Lead production incident response, post-mortems, and evaluate emerging AI/ML tools and frameworks
  • Bridge product, design, and engineering to deliver fit-for-purpose client solutions

What You'll Bring

  • 8+ years building production-grade solutions withproven tech leadership
  • Expert in React web apps, React nativewith state management (Redux,Zustand), TypeScript, modern JavaScript, and responsivecomponentlibraries
  • Expert in building AI applications withLangGraph,LangChain,LlamaIndex, AWS Bedrock, OpenAI APIs, including token optimization, cost management, and streaming responses
  • ExpertinPythonand Django with REST andGraphQLAPI design, plus async patterns (asyncio,FastAPI) for AI workloads
  • Experience with multi-modal AI (text, images, documents), fine-tuning, model adaptation, and understanding of data quality and governance in AI contexts
  • Hands-on Docker and containerization with CI/CD pipeline creation (Git, Jenkins, Artifactory)
  • Deep cloud platform development experience (AWS, Azure, GCP) withserverless,containers, and understanding of security, IAM, and authentication patterns (OAuth, JWT, SSO)
  • Experience with RDBMS, NoSQL, and semantic databases, including schema design and query optimization
  • Proficiencywith testing frameworks (Jest,Pytest, Selenium) and build tools (Webpack, Vite) with Git workflows and trunk-based development
  • Experience with monitoring and logging tools (CloudWatch, Sentry,Langfuse)
  • Clear communicator who takes initiative, follows through, and thrives as a collaborative problem-solver in fast-paced environments
  • Life sciences background
  • Cloud or AI developer certifications (AWS/Azure/GCP)
  • Shipped AI-powered features to production
  • LLM and AI agent development experience
  • Open-source contributions
  • PWA development and edge computing optimization

About Trinity

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey-from pre-launch to scale to loss of exclusivity. For more than 30 years, the world's leading pharmaceutical, biotech, and medtech companies have relied on Trinity's foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity atwww.trinitylifesciences.com.

Trinity's salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. The base salary range for this role is $128,000 - $192,000 per year. Compensation is determined based on factors such as the candidate's skills, experience, job-related education and training, location, and internal equity. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Trinity's Commitment to Inclusion & Engagement (I&E)
Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We've evolved from a traditional "DEI" framework to Inclusion & Engagement (I&E)-a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives-they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity's commitment to Inclusion and Engagement please visitInclusion & Engagement | Culture of Belonging at Trinity Life Sciences.