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Novia Jobs in Boston, MA (NOW HIRING)

Novia Infotech

NEED AI FULL STACK DEVELOPER

Boston, MA · On-site

Job Title: SENIOR AI FULL STACK DEVELOPER Job Type: Contract/FTE Location: Boston, MA | Hybrid / Remote JOB OVERVIEW We are seeking an experienced Senior AI Full Stack Developer to design, develop ...

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Novia information

See Boston, MA salary details

$32.6K

$62.9K

$107.6K

How much do novia jobs pay per year?

As of Sep 7, 2026, the average yearly pay for novia in Boston, MA is $62,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $72,200.00 per year, depending on experience, location, and employer.

What is a novia?

A 'Novia' is the Spanish word for 'bride' or 'girlfriend.' In the context of jobs, 'Novia' is not typically a job title in English-speaking countries. However, in some cultures or entertainment industries, the term might refer to a performer or hostess playing the role of a girlfriend or companion in social situations. If you're seeking information about bridal consultants or wedding planners, those are different professions. Clarifying the job context or location can help provide more accurate information.

What are the key skills and qualifications needed to thrive as a novia, and why are they important?

I'm sorry, but 'Novia' is not a recognized professional job title and does not align with real-world employment roles.

What is the difference between Novia vs Financial Advisor?

AspectNoviaFinancial Advisor
CredentialsTypically requires licensing such as Series 7, Series 66, or CFP certificationRequires similar licenses and certifications, including CFP, Series 7, and Series 66
Work EnvironmentOften employed by financial firms or platforms, working with clients remotely or in-officeWorks directly with clients, providing personalized financial planning and investment advice
Industry UsageUsed as a platform or service provider for financial advisorsProfessionals offering financial planning and investment management services

Novia is a platform or service provider that supports financial advisors, whereas a Financial Advisor is a professional who offers personalized financial planning and investment advice to clients. While both require similar certifications and work within the financial industry, Novia typically functions as a backend or platform, and Financial Advisors are client-facing professionals.

What are popular job titles related to Novia jobs in Boston, MA?

For Novia jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Novia jobs in Boston, MA look for?

The top searched job categories for Novia jobs in Boston, MA are:

Novia jobs near you
Infographic showing various Novia job openings in Boston, MA as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,898 per year, or $30.2 per hour.

NEED AI FULL STACK DEVELOPER

Novia Infotech

Boston, MA • On-site

Contractor

Posted 17 days ago

Job description

Job Title: SENIOR AI FULL STACK DEVELOPER

Job Type: Contract/FTE

Location: Boston, MA | Hybrid / Remote

JOB OVERVIEW

We are seeking an experienced 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, Azure AI services, modern data platforms, backend/API development, and production-ready AI workflows.

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.
  • Design and develop scalable backend services, RESTful APIs, microservices, and integration components.
  • Integrate AI solutions with enterprise data platforms, cloud services, and business applications.
  • Develop end-to-end AI data pipelines and intelligent workflows for production use cases.
  • Implement prompt engineering, agent orchestration, and Generative AI capabilities using modern AI frameworks.
  • Collaborate with data, cloud, product, and engineering teams to translate business requirements into scalable AI solutions.
  • Ensure AI applications are secure, reliable, observable, maintainable, and production-ready.
  • Troubleshoot, optimize, and continuously improve application performance and AI workflows.

MUST-HAVE SKILLS

  1. Azure AI Foundry and Azure OpenAI
  2. RAG, Prompt Engineering, and Agentic AI frameworks such as LangChain, Semantic Kernel, and CrewAI
  3. Strong hands-on Python development experience
  4. Snowflake, SQL, and enterprise data integration
  5. Enterprise API and Microservices Development

NICE-TO-HAVE SKILLS

  • Databricks
  • Snowflake Cortex / Cortex Agents
  • Vector Databases
  • Azure Machine Learning (Azure ML)
  • MLOps and Model Monitoring
  • React and/or Angular
  • Experience in Manufacturing, Supply Chain, or Life Sciences domains

QUALIFICATIONS & EXPERIENCE

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
  • 5–10 years of professional software engineering experience.
  • 2+ years of hands-on experience building Generative AI, Agentic AI, or AI-powered enterprise applications.
  • Demonstrated experience integrating AI solutions with cloud-based data platforms and enterprise systems.
  • Strong software engineering fundamentals, including API design, microservices, testing, debugging, and deployment.
  • Experience working in enterprise environments with cross-functional teams and production workloads.

IDEAL CANDIDATE

The ideal candidate is a hands-on AI engineer and full stack developer who can independently build intelligent applications and AI agents using Azure AI Foundry and Azure OpenAI. The candidate should be comfortable integrating Snowflake-based data platforms, developing AI workflows and data pipelines, and taking solutions from design and development through production deployment.

CORE TECHNOLOGY STACK

Azure AI Foundry | Azure OpenAI | Python | RAG | Prompt Engineering | Agentic AI | LangChain | Semantic Kernel | CrewAI | Snowflake | SQL | APIs | Microservices