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Full Stack Net Azure Developer Jobs in Massachusetts

Winaxis

Full Stack Developer

Boston, MA · On-site

Full stack Developer will be responsible for designing, developing, and maintaining our web ... Familiarity with other cloud platforms like Azure or Google Cloud is a plus. Roles and ...

Winaxis

Full Stack Developer

Boston, MA · On-site

$32 - $42/hr

Full stack Developer will be responsible for designing, developing, and maintaining our web ... Familiarity with other cloud platforms like Azure or Google Cloud is a plus. Roles and ...

Winaxis

Full Stack Developer

Boston, MA · On-site

Full stack Developer will be responsible for designing, developing, and maintaining our web ... Familiarity with other cloud platforms like Azure or Google Cloud is a plus. Roles and ...

Winaxis

Full Stack Developer

Boston, MA · On-site

$35 - $42/mo

Full stack Developer will be responsible for designing, developing, and maintaining our web ... Familiarity with other cloud platforms like Azure or Google Cloud is a plus. Roles and ...

Winaxis

Full Stack Developer

Boston, MA · On-site

Full stack Developer will be responsible for designing, developing, and maintaining our web ... Familiarity with other cloud platforms like Azure or Google Cloud is a plus. Roles and ...

SolGenie

Full Stack UI Developer

Boston, MA · On-site

Full Stack UI Developer Location: Boston, MA Duration: 12 Months Hourly Rate: 30/hr ... Utilize Azure AI services to integrate machine learning and AI capabilities into applications ...

EPAM Systems

.NET Full Stack Engineer

Boston, MA · On-site

NET Full Stack Engineer with strong Angular, Azure, C#, and SQL expertise to join a rapid development initiative for an IoT platform. This role is 100% on-site in Beverly, MA (5 days/week) with no ...

Manulife

Lead Full Stack Software Engineer

Boston, MA · On-site

$127K - $236K/yr

Architect and build scalable cloud-native solutions on Microsoft Azure , leveraging services such ... Drive DevOps adoption, CI/CD automation, and infrastructure-as-code practices. * Support production ...

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Full Stack Net Azure Developer information

What is the difference between Full Stack Net Azure Developer vs Full Stack Java Developer?

AspectFull Stack Net Azure DeveloperFull Stack Java Developer
Required CredentialsMicrosoft certifications (e.g., Azure Developer Associate), .NET certificationsJava certifications (e.g., Oracle Certified Professional, Java SE), related certifications
Work EnvironmentPrimarily in Microsoft-based environments, Azure cloud platform, Visual StudioJava-based environments, various IDEs like IntelliJ IDEA or Eclipse
Employer & Industry UsageTech companies, enterprises adopting Azure, Microsoft ecosystemFinancial, tech, and enterprise sectors using Java technologies
Common Search & ComparisonOften compared for cloud integration and Microsoft tech stack expertise

The Full Stack Net Azure Developer specializes in building applications using .NET technologies and deploying on Microsoft Azure, while the Full Stack Java Developer focuses on Java-based solutions across various cloud platforms. Both roles require strong programming skills, but differ mainly in their tech stack and cloud environment preferences.

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For Full Stack Net Azure Developer jobs in Massachusetts, the most frequently searched job titles are:

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Cities in Massachusetts with the most Full Stack Net Azure Developer job openings:

Full Stack Net Azure Developer jobs near you

AI FULL STACK DEVELOPER

QUANTUM TECHNOLOGIES LLC

Boston, MA • On-site

$96/hr

Other

Posted 7 days ago

Job description

Job Title: AI FULL STACK DEVELOPER

Location: Boston, MA

Duration: 12 Months + Extension

Bill Rate: $96/hr

Job Type: W2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

JOB SUMMARY

We are seeking a highly skilled Senior AI Full Stack Developer to design, develop, and deploy enterprise-grade AI applications, intelligent agents, and data-driven solutions. The ideal candidate will have strong hands-on experience with Generative AI, Agentic AI, Azure AI Foundry, Azure OpenAI, Python, RAG, Snowflake, APIs, and microservices.

The candidate will work closely with engineering, data, cloud, and product teams to build scalable AI solutions and take them from concept through production deployment.

KEY RESPONSIBILITIES

  • Design, develop, and deploy AI-powered enterprise applications and intelligent agent workflows.
  • Build RAG-based knowledge, search, document intelligence, and enterprise information solutions.
  • Develop scalable backend services, REST APIs, microservices, and enterprise integrations.
  • Build and integrate AI solutions with Azure cloud services, Snowflake, SQL, and enterprise data platforms.
  • Develop end-to-end AI data pipelines and intelligent workflows for production environments.
  • Implement Prompt Engineering, Agentic AI, and Generative AI capabilities.
  • Utilize AI orchestration frameworks such as LangChain, Semantic Kernel, and CrewAI.
  • Integrate AI applications with enterprise systems and business applications.
  • Develop, test, debug, optimize, and deploy production-ready applications.
  • Ensure AI solutions meet enterprise standards for security, scalability, reliability, observability, and maintainability.
  • Collaborate with cross-functional engineering, data, cloud, and product teams.
  • Troubleshoot application and AI workflow issues and continuously improve system performance.

MUST-HAVE SKILLS

  • Azure AI Foundry
  • Azure OpenAI
  • Generative AI / Agentic AI
  • RAG (Retrieval-Augmented Generation)
  • Prompt Engineering
  • Python
  • LangChain
  • Semantic Kernel
  • CrewAI
  • Snowflake
  • SQL
  • REST APIs
  • Microservices
  • Enterprise data integration

NICE-TO-HAVE SKILLS

  • Databricks
  • Snowflake Cortex / Cortex Agents
  • Vector Databases
  • Azure Machine Learning (Azure ML)
  • MLOps / Model Monitoring
  • React and/or Angular
  • AI Data Pipelines
  • Docker / Kubernetes
  • Azure DevOps / CI/CD
  • Experience with Manufacturing, Supply Chain, or Life Sciences domains

QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
  • 5 10 years of professional software engineering experience.
  • 2+ years of hands-on experience developing Generative AI, Agentic AI, or AI-powered enterprise applications.
  • Strong hands-on Python development experience.
  • Proven experience building and deploying production-grade AI applications.
  • Experience integrating AI solutions with cloud-based data platforms and enterprise systems.
  • Strong understanding of API design, microservices, software testing, debugging, and deployment.
  • Experience working in enterprise environments with distributed, cross-functional teams.

Equal opportunity employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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