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Conversational Ai Developer Jobs in Virginia (NOW HIRING)

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

UiPath RPA Developer Certification and UiPath AI Center Experience * Knowledge of chatbot development and conversational AI * Experience with AWS Bedrock Agents and Guardrails * Familiarity with ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

... A Developer Certifcation and UiPath AI Center Experience Knowledge of chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails Familiarity with model distillation ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

... A Developer Certifcation and UiPath AI Center Experience Knowledge of chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails Familiarity with model distillation ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

... A Developer Certifcation and UiPath AI Center Experience Knowledge of chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails Familiarity with model distillation ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

... and conversational AI. * Familiarity with data governance, security practices, and compliance ... ing services, and professional services. We integrate emerging technology, rapidly and securely ...

Gartner

Director, Data Science

Arlington, VA · Remote

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

... and conversational AI. * Familiarity with data governance, security practices, and compliance ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

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Conversational Ai Developer information

What is a conversational AI developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What are the key skills and qualifications needed to thrive as a conversational AI developer?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What are some common challenges conversational AI developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are popular job titles related to Conversational Ai Developer jobs in Virginia?

For Conversational Ai Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Developer jobs in Virginia look for?

The top searched job categories for Conversational Ai Developer jobs in Virginia are:

What cities in Virginia are hiring for Conversational Ai Developer jobs?

Cities in Virginia with the most Conversational Ai Developer job openings:

Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI/ML Engineer

Node.Digital LLC

Herndon, VA • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Senior AI/ML Engineer

Location: Herndon, VA (Hybrid Work)

Preferred: US Citizenship

Node.Digital is an innovative solutions development company that combines agile development services with next‑generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state‑of‑the‑art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.

Role: AI/ML Engineer

The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.

Required Skills
  • Overall experience of 6-10 Years working on Application/framework development
  • Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
  • Hands‑on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK, Lambda, and other AI/ML services
  • Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne‑tuning)
  • Hands‑on exp with OCR, ICR and OMR technologies is a must
  • Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
  • Good understanding of Document Processing, classifcation, data extraction is a must
  • Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
  • Hands‑on Web application/APIs Development experience is a must
  • Proficiency in asynchronous/multi‑threaded programming
  • Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
  • Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
  • Strong knowledge of object‑oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
  • Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
  • Knowledge of AWS cloud architecture patterns and serverless computing
  • Experience with CI/CD pipelines and DevSecOps practices
  • Knowledge of Agile methodologies is desirable
  • Experience working with a toolchain that includes TFS, SVN, Git
  • Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies
Responsibilities

Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post‑implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision‑making.

  • Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
  • Building repeatable intelligent solutions/bots for document processing and data cleansing
  • Developing and deploying scalable ML/AI models on AWS infrastructure
  • Creating API endpoints and integrations for AI/ML services
  • Implementing model evaluation, monitoring, and continuous improvement processes
  • Collaborating with cross‑functional teams to embed AI capabilities across business functions
Nice to Have
  • Experience with front‑end frameworks (React, Angular, Vue.js) and modern web development
  • UiPath RPA Developer Certification and UiPath AI Center Experience
  • Knowledge of chatbot development and conversational AI
  • Experience with AWS Bedrock Agents and Guardrails
  • Familiarity with model distillation and prompt optimization techniques
  • Understanding of responsible AI practices and AI security
Recommended Certifications
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect
  • General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer)
  • UiPath AI Center Experience (nice to have)
Education/Year of Experience

Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development

Cultural Fit
  • Effective communication skills for technical discussions
  • Comfortable with Agile methodologies
  • Ability to work remotely
  • Alignment with customer's mission and values
  • Adaptability to varying organizational structures
  • Data Analysis and Data Architecture Skills
  • Strong problem‑solving abilities for complex AI/ML challenges
Benefits
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre‑Approved Online Training
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