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Virtual Assistant Engineer Jobs in New Jersey (NOW HIRING)

Redolent, Inc.

AI/ML Engineer

Pennington, NJ · On-site

... Virtual Assistant platform. This role focuses on designing scalable conversational AI solutions ... Design, engineer, and curate training and validation datasets to support machine learning pipelines ...

BAE Systems

For candidates not local to the northern New Jersey area, virtual interviews will be accommodated. BAE Systems is looking for Test Engineering Assistants to work as part of a cross-functional, multi ...

Ansell

Senior AI Engineer

Iselin, NJ · Hybrid

$106K - $145K/yr

The Senior AI Engineer is a technical leader with deep expertise in AI/ML, Generative AI, Large ... FAQ based virtual assistants. * Design and implement knowledge-based search using AI-driven ...

ETS

AI Engineer

Princeton, NJ · On-site

... Virtual Agents), Claude AI (from Anthropic) to deliver AI-enabled automation at scale. • Build ... users. Assist and Oversee a Center of Excellence to ensure end users and Copilot Champions have ...

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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 New Jersey?

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

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

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

What cities in New Jersey are hiring for Virtual Assistant Engineer jobs?

Cities in New Jersey with the most Virtual Assistant Engineer job openings:

Virtual Assistant Engineer jobs near you
Infographic showing various Virtual Assistant Engineer job openings in New Jersey as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI/ML Engineer

Redolent, Inc.

Pennington, NJ • On-site

Contractor

Posted 7 days ago

Job description

Seeking a Cognitive Linguist - Onsite for a contract position located in Charlotte, NC, Pennington, NJ, or Plano, TX. This is a 12+ month contract opportunity.
The successful candidate will be responsible for architecting, developing, and maintaining machine learning models and NLU frameworks that identify end-user intent across a multi-channel Virtual Assistant platform. This role focuses on designing scalable conversational AI solutions, optimizing model performance, and ensuring the underlying intent recognition architecture effectively supports web, mobile, and voice-based experiences.
Responsibilities:
  • Architect and maintain the NLU intent framework across enterprise domains (e.g., Technology, Human Resources), ensuring alignment with conversational solution design patterns for web, mobile, and voice experiences
  • Design, engineer, and curate training and validation datasets to support machine learning pipelines for intent classification, speech recognition, and conversational AI performance optimization
  • Develop and maintain model evaluation frameworks, telemetry pipelines, and observability tools to measure accuracy, reliability, and operational performance, enabling data-driven model tuning throughout the development lifecycle
  • Design scalable disambiguation, fallback, and error-handling architectures that improve resilience and user experience as virtual assistant capabilities expand across domains and channels
  • Analyze conversational telemetry, interaction flows, and runtime performance metrics to identify gaps, root causes, and optimization opportunities, implementing architectural improvements that enhance system effectiveness
  • Partner with data scientists, product owners, UX researchers, and software engineers to design, build, and evolve the cognitive architecture and decisioning framework that powers the virtual assistant ecosystem

Requirements:
  • Proven experience architecting and maintaining NLU intent frameworks
  • Experience designing and curating datasets for machine learning pipelines
  • Ability to develop model evaluation frameworks and telemetry pipelines
  • Knowledge of designing scalable error-handling architectures for virtual assistants
  • Experience with Microsoft Office, including Excel
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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