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Virtual Assistant Engineer Jobs in Washington (NOW HIRING)

VIVA USA INC

Conversational AI Developer

MD · On-site +1

$50.50 - $69.50/hr

Position Overview Conversational AI Developer We are seeking a talented and passionate ... virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies ...

Metova Federal

DevOps Engineer

Hanover, MD · On-site

$52.50 - $72/hr

Monitor, maintain, install, and support networked virtual machines, containers and software applications * Assist software developers, integration, and test engineers to best utilize DevOps ...

Trident

DevOps Engineer II

Fairfax, VA · On-site

$54 - $74/hr

... virtual machines, containers, and related infrastructure. • Assist with configuration management and environment documentation. • Support infrastructure monitoring, logging, and alerting tools ...

KPMG

Director, AI Engineer

Washington, DC · On-site +1

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 ...

Trident Systems LLC

DevOps Engineer II

Fairfax, VA · On-site

$54 - $74/hr

Senior Manager, Software Engineer Supervises Others: No At Trident Systems, we believe that strong ... Help manage virtual machines, containers, and related infrastructure. * Assist with configuration ...

MANTECH

Systems Engineer

Laurel, MD

... Documents. * Assist with the development of system requirements, functional requirements, and ... Experience engineering physical and virtual VDI and VPN infrastructures. * Strong proficiency with ...

MANTECH

Systems Engineer

Laurel, MD

... Documents. * Assist with the development of system requirements, functional requirements, and ... Experience engineering physical and virtual VDI and VPN infrastructures. * Strong proficiency with ...

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All JobsEngineer JobsVirtual Assistant Engineer JobsVirtual Assistant Engineer Jobs in Washington

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.

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 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 Washington? For Virtual Assistant Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Virtual Assistant Engineer jobs in Washington look for? The top searched job categories for Virtual Assistant Engineer jobs in Washington are:
Virtual Assistant Engineer jobs near you
Conversational AI Developer

Conversational AI Developer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 20 days ago

Job description

Role: Conversational AI Developer

Location: Adelphi, Maryland – Hybrid/Remote

Duration: 12+ months

Local candidates preferred

Need LinkedIn profile

Must Have: Chatbot developers Microsoft Foundary

Job Summary

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies.

Responsibilities:

  • Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies
  • Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories
  • Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly
  • Leverage Generative AI services to enhance chatbot responses with creativity and personalization
  • Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience
  • Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions
  • Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization
  • Stay updated on the latest advancements in Conversational AI technologies and best practices

Preferred Qualifications:

  • 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots
  • Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization
  • Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
  • Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
  • Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
  • Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs
  • Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation
  • Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
  • Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
  • SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod)
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work independently and manage multiple projects simultaneously
  • Passion for innovation and a strong desire to push the boundaries of Conversational AI technology

Benefits:

  • Be a part of a cutting-edge team at the forefront of Conversational AI development in Higher Education
  • Work on challenging and rewarding projects that make a real impact
  • Opportunity to learn and grow your skills in a dynamic and fast-paced environment