ZipRecruiter

Log In

1

Virtual Assistant Engineer Jobs (NOW HIRING)

Nooks

Senior Software Engineer, Voice AI

San Francisco, CA · On-site

$215K - $300K/yr

The ones that do go through a maze: voicemails, phone trees, virtual assistants. Voice AI is the ... We're hiring senior engineers to push both sides forward. What you'll do * Build real-time, low ...

General Motors

Virtual Engineering Lead Engineer

Warren, MI

$96K - $126K/yr

This role is ideal for an engineer who enjoys technical problem-solving, virtual validation, and ... If you need a reasonable accommodation to assist with your job search or application for employment ...

General Motors

Virtual Engineering Lead Engineer

Warren, MI · On-site

$96K - $126K/yr

This role is ideal for an engineer who enjoys technical problem-solving, virtual validation, and ... If you need a reasonable accommodation to assist with your job search or application for employment ...

next page

Showing results 1-20

All JobsEngineer JobsVirtual Assistant Engineer Jobs

Virtual Assistant Engineer information

See salary details

$11

$24

$33

How much do virtual assistant engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for virtual assistant engineer in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

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.

Is VA still in demand?

Virtual Assistant Engineers, or VAs, are in ongoing demand as remote work and online business operations grow. They often require skills in communication, organization, and familiarity with productivity tools, making them valuable in various industries. The demand is expected to remain steady with the increase in remote and flexible work arrangements.

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.

Can you be a VA with no experience?

Virtual Assistant Engineers or VAs can often start with little to no experience, as many roles focus on basic administrative tasks, communication skills, and familiarity with tools like email and scheduling software. However, having some knowledge of relevant software, organization, and time management can improve job prospects and performance.

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.

Can you make 10k a month as a virtual assistant?

Earning $10,000 a month as a virtual assistant engineer is possible but uncommon and typically requires advanced skills, specialized services, high-paying clients, or working with multiple clients simultaneously. Most virtual assistants earn between $15 and $50 per hour, so reaching that income level often involves building a strong reputation, offering niche expertise, or scaling your business. Achieving this income may also depend on your experience, efficiency, and the demand for your services.

Is AI going to replace virtual assistants?

AI technology can automate certain tasks performed by virtual assistants, such as scheduling and data management, but it is unlikely to fully replace the role. Virtual assistants still require human skills like communication, problem-solving, and personalized service, making their roles valuable alongside AI tools. Many virtual assistant engineers work on integrating AI with human workflows to enhance productivity.

What are Virtual Assistant Engineers?

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.
More about Virtual Assistant Engineer jobs
What cities are hiring for Virtual Assistant Engineer jobs? Cities with the most Virtual Assistant Engineer job openings:
What states have the most Virtual Assistant Engineer jobs? States with the most job openings for Virtual Assistant Engineer jobs include:
What job categories do people searching Virtual Assistant Engineer jobs look for? The top searched job categories for Virtual Assistant Engineer jobs are:
Virtual Assistant Engineer jobs near you
Infographic showing various Virtual Assistant Engineer job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.
Python Fullstack AI Engineer

Python Fullstack AI Engineer

SUNRAY INFORMATICS

Jersey City, NJ

Other

Posted 7 days ago

Job description

Hi Professionals,

We have an immediate openings for the below role, If interested please apply.

Job Title:Python Fullstack AI Engineer

Type : Fulltime / W2 Onsite
Interview: Telephonic & MS Teams
JOB RESPONSIBILITIES

OVERALL EXPERIENCE

We are unable to sponsor the Visa

OVERALL EXPERIENCE 9YRS+

Python Full Stack AI Engineer to work on the DIVA (Digital Intelligence Virtual Assistant) platform an enterprise-grade AI system designed to provide intelligent, context-aware insights across applications, data, and platforms.

DIVA enables users to explore system capabilities, data lineage, dependencies, and cloud migration impacts through a conversational AI interface powered by knowledge graphs and AI agents.

Key Responsibilities

  • Build AI-powered backend services using Python (FastAPI/Flask)
  • Develop and integrate LLM-based solutions using frameworks like LangChain or LlamaIndex
  • Design and implement RAG / GraphRAG pipelines
  • Work with knowledge graphs (e.g., Neo4j) to enable semantic querying and reasoning - Knowledge graph/ontology + MCP servers.
  • Develop AI agents for multi-step reasoning and orchestration
  • Build scalable REST/GraphQL APIs
  • Create intuitive front-end interfaces using React for:
  • Chat-based AI interaction
  • Graph and lineage visualization
  • Collaborate with data engineers and architects to model enterprise ontology and metadata.

Required Skills

  • Strong Python backend development experience
  • Hands-on experience with Generative AI / LLMs
  • Experience with RAG pipelines
  • Knowledge of graph databases / knowledge graphs
  • Frontend experience with React
  • Understanding of APIs, microservices, and distributed systems
  • Experience with MCP servers / MCP orchestration experience

Best Wishes,

Dany|Recruiter|Sunray Informatics Inc

(Direct) | (E) Desk: EXT 253

Sunray Informatics Inc | 77 Milltown Road Suite C1, East Brunswick, NJ 08816 Web:

Apply