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Virtual Assistant Engineer Jobs in Texas (NOW HIRING)

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. * Strong programming proficiency in Python (5+ years) and deep ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. * Strong programming proficiency in Python (5+ years) and deep ...

Addison Group

Desktop Support Engineer

Houston, TX · On-site

$65/hr

Troubleshoot virtual desktop access and performance issues. * Provide frontline technical support ... Support printer address changes and migration-related activities. * Assist with cloud-based print ...

IPSecure, Inc.

Cyber Range Engineer - Cloud/DevOps

TX · On-site

$95K - $105K/yr

Cyber Range Engineers install, configure, and maintain virtual environments used by our US Air ... Build ranges to assist individual training, team training, and initial and mission qualification ...

CBRE

Principal AI Engineer

Richardson, TX · On-site

About the Role: As a CBRE Principal AI Engineer, you will shape enterprise intelligence by ... Operationalize LLM-powered experiences including multi-turn dialogue systems, virtual assistants ...

Ryan Companies

VDC Engineer

Dallas, TX

The Virtual Design Construction Engineer will provide routine Building Information Modeling (BIM ... Track RFIs and use construction model to assist in responding to them. * Assist with project punch ...

Ryan Companies

VDC Engineer

Austin, TX

The Virtual Design Construction Engineer will provide routine Building Information Modeling (BIM ... Track RFIs and use construction model to assist in responding to them. * Assist with project punch ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert Location: Dallas, TX (Day1 ... Experience with Agent Assist functionality is a plus. Preferred Qualifications: * Master's/PhD in ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration ... Design, build, and deploy chatbots and virtual assistants for banking use cases. * Leverage LLMs ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

Develop chatbots and virtual assistants using the Kore.AI platform, utilizing programming languages, scripting, and Kore.AI APIs and tools. * Implement natural language processing (NLP) and natural ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

Develop chatbots and virtual assistants using the Kore.AI platform, utilizing programming languages, scripting, and Kore.AI APIs and tools. * Implement natural language processing (NLP) and natural ...

KPMG

Associate, AI Engineer

Dallas, TX · On-site

KPMG is currently seeking an Associate, AI Engineer to join our Advisory Services practice ... Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and ...

Clayco

VDC Senior Engineer

Haskell, TX

$91K - $118K/yr

Perform and document clash detection on virtual building model as well as assist in conflict ... Bachelor's Degree in Architecture, Engineering, or Construction Management. * 3-5 years of ...

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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.

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 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.
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

Lead Machine Learning Engineer

NobleAI

Houston, TX • On-site, Remote

$97K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.
We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.
At NobleAI, we are developing the next generation of intelligent chemical informatics platform. Our goal is to create a seamless, intuitive experience that empowers users to achieve unprecedented productivity in data processing, visualization, and model building. We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid iteration, and has the ability to solve challenging problems in science and technology.
As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP platform. This role is ideal for individuals passionate about the cutting edge of LLMs and eager to build AI systems that can reason, plan, and act.
Join us in building a more sustainable world through the power of AI and scientific innovation.
Requirements
  • Design domain specific AI systems and chatbots capable of complex dialogue management and workflow execution via tools, API calls and multi step tasks based on user goals, multi-agent orchestration.
  • Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to support accuracy measurement for use cases
  • Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models.
  • Collaborate with product and software engineers to integrate the features into our platform.
  • Establish prompt engineering and data management best practices for transparency and governance.
  • Establish best practices for monitoring and evaluation of data and models across the model lifecycle (development, testing, and production)
  • Keep a pulse on the latest advancements in NLP, LLMs, and agentic AI research, and act as a subject matter expert on architecture decisions on platform and use cases.

What We're Looking For
  • MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP).
  • Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures.
  • Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow
  • Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities.
  • Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB.
  • Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic).
  • 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe).
  • Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles.
  • Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

Benefits
We offer great pay & benefits.
  • Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
  • Flexible paid time off & generous holidays
  • Remote-first with co-working access at Industrious offices
  • 401(k) with employer match
  • Equity package
  • Salary Range $190,000 - $205,000 (Depending on experience & Geographic location)
  • Performance-based bonus plan

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