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Virtual Assistant Engineer Jobs in Texas (NOW HIRING)

Selene Holdings

Sr. Telephony Analyst

Dallas, TX · On-site

$87K - $115K/yr

The ideal candidate will possess deep expertise in telephony systems, IVR programming, intelligent virtual assistant (IVA) technologies, inbound and outbound call routing strategies, and contact ...

Selene Holdings

Sr. Telephony Analyst

Dallas, TX · On-site

$87K - $115K/yr

The ideal candidate will possess deep expertise in telephony systems, IVR programming, intelligent virtual assistant (IVA) technologies, inbound and outbound call routing strategies, and contact ...

McKesson

Software Engineer

Irving, TX · On-site

$156K - $175K/yr

Software Engineer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Design, develop ... Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related ...

McKesson

Software Engineer

Irving, TX · On-site

$156K - $175K/yr

Software Engineer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Design, develop ... Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related ...

HSI

AI Product Manager I

Frisco, TX · Remote

Define and own the roadmap for a virtual assistant-driven application interface, including ... Partner with engineering and data teams to design AI-powered features leveraging LLMs, RAG, and ...

Walker Engineering

Senior Virtual Designer

Irving, TX · On-site +1

$94K - $101K/yr

The Sr. Virtual Designer will be responsible for laying out and producing electrical shop drawings ... engineering department during model creation on design/build projects. * Assist with the ...

Satsuma

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

... virtual assistants. Our comprehensive solution comprises a branded AI Gateway, a secure Admin ... We are seeking a Senior Software Engineer to join our dynamic team. In this pivotal role, you will ...

HSI

AI Product Manager I

Frisco, TX · On-site +1

Define and own the roadmap for a virtual assistant-driven application interface, including ... Partner with engineering and data teams to design AI-powered features leveraging LLMs, RAG, and ...

Satsuma

Senior Software Engineer

Austin, TX · On-site

$115K - $152K/yr

... virtual assistants. Our comprehensive solution comprises a branded AI Gateway, a secure Admin ... We are seeking a Senior Software Engineer to join our dynamic team. In this pivotal role, you will ...

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All JobsEngineer JobsVirtual Assistant Engineer JobsVirtual Assistant Engineer Jobs in Texas

Virtual Assistant Engineer information

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in tech companies or industries with high demand for expertise.

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 and similar virtual assistant roles often do not require prior experience, as many employers provide training on necessary tools like email management, scheduling, and basic software. Entry-level positions may focus on strong communication skills, organization, and a willingness to learn, making it possible to start without previous experience.

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 typically requires advanced skills, specialized services, and a high volume of clients or premium contracts. Most virtual assistants earn between $15 and $50 per hour, so reaching that income level often involves building a strong reputation, offering niche expertise, and working efficiently with tools like project management software. Achieving this income may also depend on the market demand and your ability to scale your services.

Is AI going to replace virtual assistants?

AI technology can automate certain tasks performed by virtual assistants, such as scheduling and data entry, but it is unlikely to fully replace the role. Virtual assistants often require human judgment, communication skills, and adaptability that AI currently cannot replicate entirely. As a result, virtual assistant engineers and professionals will continue to develop and manage AI tools to enhance their work.

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.
What are popular job titles related to Virtual Assistant Engineer jobs in Texas? For Virtual Assistant Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Virtual Assistant Engineer jobs in Texas look for? The top searched job categories for Virtual Assistant Engineer jobs in Texas are:
What cities in Texas are hiring for Virtual Assistant Engineer jobs? Cities in Texas with the most Virtual Assistant Engineer job openings:
Virtual Assistant Engineer jobs near you

IBM watsonx Assistant Developer

WaltaSoft Technologies

Coppell, TX • On-site

Other

Posted 9 days ago

Job description

Role : IBM watsonx Assistant Developer
Location : Coppell, TX ( Onsite)
*Mandatory skill :* Watson Assistant development is main skill required
*Job Summary*
We are seeking a highly skilled IBM watsonx Assistant Developer to design, develop, and deploy enterprise-grade conversational AI solutions using IBM watsonx Assistant. The ideal candidate will have hands-on experience building AI-powered virtual assistants, integrating enterprise applications through REST APIs, and developing intuitive web interfaces. Experience with cloud platforms, containerization, and modern DevOps practices is highly desirable.
Key Responsibilities
Design, develop, and maintain enterprise conversational AI solutions using IBM watsonx Assistant.
Build intelligent chatbots and virtual assistants capable of handling complex, multi-turn conversations and business workflows.
Configure Actions, Variables, Integrations, Knowledge Bases, Search, and AI-powered conversation flows within watsonx Assistant.
Integrate watsonx Assistant with enterprise systems using RESTful APIs, web services, and microservices.
Develop responsive user interfaces using HTML5, CSS3, JavaScript, React, or Angular.
Integrate third-party APIs and enterprise applications such as ERP, CRM, ITSM, and authentication services.
Implement secure API authentication mechanisms including OAuth 2.0, JWT, and API Keys.
Deploy and manage watsonx Assistant solutions on IBM Cloud, AWS, or Azure.
Containerize applications using Docker and deploy scalable workloads on Kubernetes/OpenShift.
Build and maintain CI/CD pipelines for automated testing, deployment, and release management.
Troubleshoot, debug, optimize, and enhance chatbot performance and user experience.
Collaborate with business stakeholders, UX designers, architects, and development teams to deliver enterprise AI solutions.
Required Skills & Experience
Primary Skills (Mandatory)
IBM watsonx Assistant Development (Primary Skill)
Hands-on experience developing enterprise chatbots, virtual assistants, and conversational AI solutions.
Experience designing Actions, Skills, Variables, Slots, Dialog Flows, Search, and Knowledge Base integrations.
Strong understanding of Generative AI, Conversational AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP).
Experience integrating watsonx Assistant with enterprise applications using RESTful APIs, webhooks, and microservices.
Knowledge of API authentication methods including OAuth 2.0, JWT, and API Keys.
Experience integrating third-party APIs and enterprise services into watsonx Assistant applications.
Front-End Development
Strong experience with HTML5, CSS3, JavaScript (ES6+).
Hands-on experience with React.js or Angular.
Experience developing responsive, accessible, and user-friendly web interfaces.
Strong understanding of UI/UX principles and responsive design.
Backend & Integration
Experience with Node.js, Express.js, or similar backend technologies.
Experience developing REST APIs and integrating enterprise applications.
Familiarity with JSON, XML, and asynchronous programming.
Cloud & DevOps
Experience with IBM Cloud, AWS, or Microsoft Azure.
Containerization using Docker.
Orchestration using Kubernetes/OpenShift.
Experience implementing CI/CD pipelines, automated deployments, and DevOps best practices.
Proficiency with Git and collaborative development workflows.
Preferred Skills
Knowledge of Machine Learning, Natural Language Processing (NLP), and Generative AI concepts.
Experience integrating enterprise applications such as Oracle ERP, SAP, Salesforce, ServiceNow, or similar platforms.
Experience with monitoring, logging, and chatbot analytics.
Familiarity with Agile/Scrum development methodologies.
Strong analytical, troubleshooting, and debugging skills.
Excellent written, verbal, and interpersonal communication skills.
Mandatory Technical Skills
IBM watsonx Assistant Development
Conversational AI & Virtual Assistant Development
Generative AI, LLMs & RAG Concepts
RESTful API Integration
Microservices Architecture
Third-Party API Integration
HTML5, CSS3, JavaScript
React.js or Angular
Node.js & Express.js
Git Version Control
Docker
Kubernetes/OpenShift
IBM Cloud / AWS / Azure
CI/CD, Automation & Deployment
UI/UX & Responsive Design
Problem Solving & Debugging

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