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Virtual Assistant Engineer Jobs in New Rochelle, NY

This role is central to the design of our in-app virtual assistant, which will serve as a key ... and Engineering leads within an agile environment. * Demonstrated ability to advocate for ...

Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the ... virtual assistants that handle complex, dynamic tasks and conversations * Proficient in ...

New

Responsibilities include configuring physical and virtual servers, troubleshooting server-related ... Resolve hardware and software issues during and after server integration and assist with server ...

Storage Engineer Duration:12 months Location: New York City, NY (100% onsite role) Must have Skills ... assist as needed, without being responsible for leading migrations Overall, the resource should be ...

... and virtual Microsoft Windows Desktops in addition to physical on-premises hosts; • Maintain ... • Assist in the maintenance of the Windows desktops, including patches and security updates ...

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... - Assist in the maintenance of the Windows desktops, including patches and security updates ...

Desktop Design Engineer

Brooklyn, NY · On-site

$100K - $125K/yr

... portable and virtual Microsoft Windows Desktops in addition to physical on-premises hosts ... -Assist in the maintenance of the Windows desktops, including patches and security updates ...

Showing results 21-40

Virtual Assistant Engineer information

See New Rochelle, NY salary details

$11

$25

$34

How much do virtual assistant engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for virtual assistant engineer in New Rochelle, NY is $25.11, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $28.22 per hour, depending on experience, location, and employer.

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 job categories do people searching Virtual Assistant Engineer jobs in New Rochelle, NY look for?

The top searched job categories for Virtual Assistant Engineer jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Virtual Assistant Engineer jobs?

Cities near New Rochelle, NY with the most Virtual Assistant Engineer job openings:

AI Prompt Engineer / AI Application Engineer

Afficiency

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Company Description
Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence.
Job Description
We are seeking a highly skilled AI Prompt Engineer / AI Application Engineer to design, develop, and deploy AI-driven digital solutions for Life Insurance business applications. The ideal candidate will possess strong full-stack development expertise along with hands-on experience in AI technologies, agentic workflows, prompt engineering, and Large Language Model (LLM) integrations.
This role will focus on building real-time AI-powered applications that enhance customer experience, underwriting, servicing, claims processing, agent productivity, knowledge management, and operational efficiency.
The successful candidate will work closely with business stakeholders, solution architects, data engineers, and digital product teams to deliver enterprise-grade AI solutions.
This role is for someone who is based in the NYC Metro Area, passionate about building real-world GenAI applications and bringing them into production, while continuously improving performance, reliability, and user outcomes.
Qualifications
Responsibilities
AI & Prompt Engineering
  • Design, develop, and optimize prompts for Large Language Models (LLMs) including OpenAI Codex, GPT, Claude, Gemini, and other enterprise AI platforms.
  • Build AI-powered workflows, copilots, virtual assistants, and intelligent agents for insurance business processes.
  • Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation.
  • Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency, and reliability.
  • Design agent-based solutions using tools, skills, plugins, function calling, workflows, and orchestration frameworks.
  • Create reusable prompt libraries and AI solution accelerators.
  • Monitor AI performance metrics and continuously improve model outcomes.

Application Development
  • Design and develop modern web applications using React.js and related frontend technologies.
  • Build RESTful APIs and microservices using Python Flask.
  • Integrate AI services into enterprise digital applications.
  • Develop real-time applications supporting customer service, underwriting, policy servicing, and claims workflows.
  • Implement authentication, security, and scalability best practices.

Data & Integration
  • Connect AI applications to enterprise systems through APIs and service layers.
  • Work with structured and unstructured data sources supporting AI use cases.

Architecture & Delivery
  • Participate in AI solution architecture and technology selection.
  • Conduct proof-of-concepts and rapid prototypes.
  • Collaborate with cloud, data, and application teams.
  • Follow DevOps, CI/CD, and Agile development practices.
  • Maintain documentation, technical specifications, and AI governance controls

Education
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.

Experience
  • Minimum 4+ years of software engineering experience.
  • Minimum 2+ years developing AI-powered applications or Generative AI solutions.
  • Experience in Life Insurance, Financial Services, or regulated industries is highly preferred.

Technical Skills / Exposure
  • Front-End Development
  • React.js
  • JavaScript / TypeScript
  • HTML5 / CSS3
  • Responsive UI development
  • Backend Development
  • Python
  • Flask API Development
  • REST APIs
  • Microservices Architecture
  • Database Technologies
  • SQL Server, PostgreSQL, MySQL, or Oracle
  • Database design and optimization
  • Query performance tuning
  • AI & Generative AI
  • Prompt Engineering
  • Large Language Models (LLMs)
  • OpenAI GPT/Codex
  • Anthropic Claude
  • Google Gemini
  • AI Agents and Agentic Workflows
  • RAG (Retrieval Augmented Generation)
  • Vector Databases
  • Embeddings
  • Fine-Tuning Concepts
  • Model Evaluation Techniques
  • Tool Calling and Function Calling
  • AI Frameworks & Tools
  • Claude (co-work, code and design)
  • Microsoft Copilot Studio
  • AI Skills and Plugin Development
  • Workflow Orchestration Frameworks
  • Cloud & DevOps
  • Git/GitHub
  • Azure DevOps
  • CI/CD Pipelines

Desired Competencies
  • Strong analytical and problem-solving abilities.
  • Ability to quickly learn emerging AI technologies.
  • Excellent communication and stakeholder engagement skills.
  • Strong understanding of responsible AI practices.
  • Ability to work independently in a fast-paced environment.
  • Strong focus on solution quality, scalability, and business outcomes.

Additional Information
Success Criteria
Within the first 6 months, the candidate will:
  • Deliver production-ready AI-powered digital applications.
  • Build reusable prompt engineering frameworks and AI accelerators.
  • Develop real-time AI agents supporting insurance operations.
  • Improve operational efficiency and customer experience through Generative AI solutions.
  • Establish best practices for AI application development, governance, and monitoring.

Benefits
  • Competitive salary with equity options
  • Robust health, dental, and vision benefits for employee and dependents
  • 401k matching contributions
  • Generous PTO policy
  • Provided work-from-home equipment

Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.