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Virtual Assistant Engineer Jobs in Massachusetts

DevOps Engineer 3

Waltham, MA · On-site

$57 - $78/hr

As a DevOps Engineer, you will assist the Engineering Operations team in supporting and enabling ... Experience managing virtual machines in a Hyper-V cluster * Experience with gmake, scons or cmake

DevOps Engineer 3

Waltham, MA · On-site

$140 - $190/hr

As a DevOps Engineer, you will assist the Engineering Operations team in supporting and enabling ... Experience managing virtual machines in a Hyper‑V cluster * Experience with gmake, scons or cmake

DevOps Engineer

Lexington, MA · On-site

$77K - $176K/yr

... Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments and ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

DevOps Engineer

Arlington, MA · On-site

$77K - $176K/yr

... Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments and ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

DevOps Engineer

Lexington, MA · On-site

$77K - $176K/yr

... Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments and ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

DevOps Engineer

Lexington, MA · On-site

$77K - $176K/yr

... Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments and ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

Embedded Cloud Engineer

Framingham, MA · On-site

$110 - $140/hr

Embedded Cloud Engineer - Location: Framingham, MA. Duration: 6 Months. Experience required: 10+ ... Familiarity developing virtual personal assistant (VPA) in products is a strong plus * Security ...

Global Network Engineer

Agawam, MA · Hybrid

$100K - $116K/yr

Compensation: $100,000-$116,000 Benefits Health Insurance (includes teledoc, virtual health, FSA ... Assist with investigations of potential security breaches as a member of the incident management ...

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Virtual Assistant Engineer information

What is a virtual assistant engineer?

Virtual Assistant Engineers are professionals who design, develop, and maintain virtual assistant technologies, such as chatbots and voice-activated AI systems. They work with artificial intelligence, natural language processing, and machine learning tools to create digital assistants that understand and respond to user input. Their responsibilities may include coding backend logic, integrating APIs, and continually improving the assistant's performance based on user interactions. Virtual Assistant Engineers often collaborate with UX designers, data scientists, and product managers to deliver seamless user experiences.

How does a virtual assistant engineer typically collaborate with cross-functional teams to improve virtual assistant performance?

Virtual Assistant Engineers regularly work with product managers, UX designers, and data scientists to enhance the capabilities and user experience of virtual assistants. Collaboration often involves participating in sprint meetings, sharing data insights, and integrating user feedback into system improvements. This teamwork ensures the virtual assistant remains accurate, responsive, and aligned with evolving business needs. Effective communication and openness to iterative feedback are essential for success in this collaborative environment.

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

To thrive as a Virtual Assistant Engineer, you need strong programming skills (often in Python, Java, or C#), experience with AI and NLP technologies, and a degree in computer science or a related field. Familiarity with platforms like Amazon Alexa, Google Assistant, dialog management systems, and cloud-based development environments is typically required. Excellent problem-solving, communication, and teamwork abilities help you collaborate effectively and design user-friendly voice or chat interfaces. These skills ensure you can build, deploy, and refine intelligent virtual assistants that enhance user experiences and meet business objectives.

What is the difference between Virtual Assistant Engineer vs Virtual Assistant?

AspectVirtual Assistant EngineerVirtual Assistant
Required CredentialsTechnical certifications, programming knowledgeBasic computer skills, communication skills
Work EnvironmentRemote, technical projects, client-specific tasksRemote, administrative, scheduling, customer support
Employer & Industry UsageTech companies, startups, IT service providersSmall businesses, entrepreneurs, online service providers
Common Search & Comparison IntentTechnical skills, engineering tasks, software developmentAdministrative support, scheduling, general assistance

The main difference between a Virtual Assistant Engineer and a Virtual Assistant lies in their skill sets and work focus. Virtual Assistant Engineers typically have technical certifications and work on software development or engineering projects, while Virtual Assistants handle administrative and support tasks. Both roles are remote and serve different industry needs, with the Engineer role requiring more technical expertise.

What are popular job titles related to Virtual Assistant Engineer jobs in Massachusetts?

For Virtual Assistant Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Virtual Assistant Engineer jobs in Massachusetts look for?

The top searched job categories for Virtual Assistant Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Virtual Assistant Engineer jobs?

Cities in Massachusetts with the most Virtual Assistant Engineer job openings:

Data Science Intern/Fresher | Bengaluru, India

Openstream Inc.

Bridgewater, MA • On-site

$279 - $446.40/hr

Other

Posted 10 days ago


Job description

We are seeking a motivated Data Science Intern/Fresher with strong coding skills and a passion for building AI‑driven applications. This role offers hands‑on experience in developing, deploying, and experimenting with cutting‑edge AI tools, large language models (LLMs), and modern frameworks for interactive user interfaces and backend services.

Who is Openstream.ai?

Openstream.ai enables enterprises to engage in meaningful and fluid conversations with their audiences across modalities, channels, and languages with its visionary multimodal, plan‑based Conversational AI, Eva (Enterprise Virtual Assistant). The platform is finely tuned by world‑class AI experts to orchestrate the latest AI approaches and tools to deliver the best solutions possible for their end‑users and businesses. The company is headquartered in Bridgewater, NJ, and offers its solutions and expertise to visionary enterprises worldwide.

Key Responsibilities

Develop and maintain data‑driven applications using Python.

Work with LLMs and frameworks such as LangChain, LangGraph, and LlamaIndex to build intelligent workflows.

Experiment with AI productivity tools (e.g., Cursor) to accelerate development.

Design and deploy interactive UIs using Gradio and Streamlit.

Build and manage backend services and APIs using FastAPI.

Collaborate with senior data scientists and engineers to prototype and optimiseAI solutions.

Assist in integrating multimodal data pipelines and APIs into production‑ready systems.

Document workflows, experiments, and results for reproducibility and knowledge sharing.

EXPERIENCE

Prompt engineering and generating AI workflows: structuring, designing, and optimising input prompts to guide generative AI models—like Large Language Models (LLMs)—to produce accurate, relevant, and high‑quality outputs.

Proficiency in Python programming

Familiarity with AI tools (Cursor or similar)

Understanding of LLMs and frameworks like LangChain, LangGraph, and LlamaIndex.

Experience in building UIs with Gradio and Streamlit.

Experience in backend/API development with FastAPI.

Strong knowledge of version control systems such as GitHub or Bitbucket.

Strong problem‑solving skillsand eagerness to learn new technologies.

Ability to work collaboratively in a fast‑paced environment.

PREFERRED QUALIFICATIONS

Software Engineering Degree / Final year students from Data Science

Exposure to machine learning concepts and data preprocessing.

Knowledge of cloud platforms (Azure, AWS, or GCP) is a plus.

Good communication skills for presenting technical ideas clearly.

job Location

Openstream.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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