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Ai Full Stack Developer Jobs in Worcester, MA (NOW HIRING)

Competitive salary Full Stack AI Engineer Introduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to ...

New

Full Stack Engineer

Smithfield, RI · On-site

$69 - $74/hr

Plus: DevOps practices for SCM, CI, monitoring, and deployments. * Plus: Enterprise architecture ... Plus: AI usage for code reviews and test cases. Education Requirements: * BS/BA degree or ...

Java Full Stack

Waltham, MA

$56.75 - $73/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities Work as a member of a software development team as a full ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Role And Responsibilities Work as a member of a software development team as ...

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of ...

Java Full Stack Developer

Princeton, MA · On-site

$78K - $120K/yr

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ... Oriented Programming (OOP) Patterns and Concepts • Familiarity with different design and ...

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Ai Full Stack Developer information

See Worcester, MA salary details

$23

$59

$85

How much do ai full stack developer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for ai full stack developer in Worcester, MA is $59.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $68.03 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What are popular job titles related to Ai Full Stack Developer jobs in Worcester, MA? For Ai Full Stack Developer jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Ai Full Stack Developer jobs in Worcester, MA look for? The top searched job categories for Ai Full Stack Developer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Ai Full Stack Developer jobs? Cities near Worcester, MA with the most Ai Full Stack Developer job openings:
Infographic showing various Ai Full Stack Developer job openings in Worcester, MA as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,993 per year, or $59.1 per hour.

Senior Java Full Stack Developer/Java Full Stack Developer

Futran Tech Solutions Pvt. Ltd.

Woonsocket, RI • On-site

$50.25 - $65/hr

Full-time

Posted 15 hours ago

Posted today


Job description

Role: Senior Java Full Stack Developer / Java Full Stack Developer
Location: Woonsocket, RI (Onsite)
Type: FTE
Job description:
Responsibilities
  • Design, develop, and maintain enterprise applications using Java and Spring technologies.
  • Develop scalable Microservices using Spring Boot and Spring Cloud.
  • Build responsive front-end applications using Angular.
  • Design and develop RESTful APIs and integrate with enterprise systems.
  • Develop and deploy cloud-native applications on Google Cloud Platform (GCP).
  • Build and manage containerized applications using Docker and Kubernetes (GKE).
  • Develop CI/CD pipelines and automate deployments.
  • Collaborate with cross-functional teams including Product Owners, QA, DevOps, and Architects.
  • Perform code reviews and mentor junior developers.
  • Ensure applications meet security, performance, scalability, and quality standards.

Required Skills
  • 10+ years of experience in Java/J2EE application development.
  • Strong experience with Java 11/17, Spring Boot, Spring MVC, Spring Security, Spring Data JPA, and Hibernate.
  • 5+ years of experience developing Microservices using Spring Boot and REST APIs.
  • Strong experience with Angular (12+), TypeScript, JavaScript, HTML5, and CSS3.
  • 3+ years of hands-on experience with Google Cloud Platform (GCP), including GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud SQL, Cloud Storage, IAM, and Apigee.
  • Experience with Docker, Kubernetes (GKE), and Helm.
  • Strong knowledge of OAuth 2.0, OpenID Connect (OIDC), JWT, and Ping Identity.
  • Experience with Apache Kafka, ActiveMQ, or RabbitMQ.
  • Hands-on experience with PostgreSQL, Oracle, SQL Server, MongoDB, and Redis.
  • Experience with Jenkins, GitHub Actions, Maven, Gradle, SonarQube, Nexus/Artifactory, Git, and Terraform.
  • Experience with monitoring and observability tools such as Splunk, Prometheus, Grafana, Dynatrace, AppDynamics, or OpenTelemetry.
  • Strong understanding of Object-Oriented Design, Design Patterns, Microservices Architecture, and distributed systems.
  • Experience working in Agile/Scrum environments.
  • Experience in Healthcare or Health Insurance domain.
  • Knowledge of HL7 and FHIR standards.
  • Experience with HIPAA-compliant application development.
  • Experience with Istio, HashiCorp Vault, Domain-Driven Design (DDD), and Event-Driven Architecture.

Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Google Cloud Professional Cloud Developer or Professional Cloud Architect certification.
  • Kubernetes certifications (CKA/CKAD).