The Conversational AI Developer designs develops and deploys AI-driven conversational solutions including chat bots voice assistants and intelligent virtual agents. This role involves building natural language understanding (NLU) dialogue management and integration with business systems to deliver seamless context-aware user experiences. The Conversational AI Developer collaborates closely with product managers UX designers data scientists and software engineers to create scalable AI-driven applications.
This position is strictly limited to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will be rejected.
Key Responsibilities
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Design develop and deploy conversational AI solutions including chatbots and voice assistants
-
Implement NLU intent recognition entity extraction and dialogue management models
-
Integrate conversational AI solutions with internal systems APIs and third-party platforms
-
Optimize AI models for accuracy response time and contextual understanding
-
Conduct testing debugging and performance monitoring of AI systems
-
Collaborate with UX designers to ensure intuitive human-centered conversational experiences
-
Maintain and update AI training data model versions and system documentation
-
Stay current with advancements in NLP machine learning and conversational AI technologies
-
Provide technical guidance and support to cross-functional teams on AI implementation
Required Qualifications
-
Bachelors degree in Computer Science Artificial Intelligence Data Science or a related field
-
35 years of experience in AI/ML development NLP or software engineering
-
Proficiency with conversational AI platforms such as Dialogflow Rasa Microsoft Bot Framework or Amazon Lex
-
Strong programming skills in Python Java or
-
Experience with machine learning frameworks (TensorFlow PyTorch scikit-learn)
-
Solid understanding of NLU NLP dialogue management and intent classification
-
Familiarity with REST APIs webhooks and cloud deployment
-
Strong problem-solving analytical and communication skills
-
Ability to work independently and effectively in a remote environment
Preferred Qualifications
-
Masters degree in AI Machine Learning or NLP
-
Experience with voice-based AI and speech recognition technologies
-
Knowledge of large language models (LLMs) and generative AI integration
-
Familiarity with version control systems (Git) and CI/CD pipelines
-
Prior experience developing enterprise-scale conversational AI applications
Compensation
Benefits
-
Comprehensive medical dental and vision insurance
-
401(k) retirement plan with employer matching
-
Paid time off paid holidays and sick leave
-
Life short-term and long-term disability insurance
-
Flexible remote work arrangement
-
Professional development AI certification and training reimbursement
-
Employee wellness and assistance programs
Work Authorization & Residency Requirement
-
Must be legally authorized to work in the United States
-
Must currently reside within the United States
-
Applications from candidates outside the U.S. will not be considered
The Conversational AI Developer designs develops and deploys AI-driven conversational solutions including chat bots voice assistants and intelligent virtual agents. This role involves building natural language understanding (NLU) dialogue management and integration with business systems to deliver s...
The Conversational AI Developer designs develops and deploys AI-driven conversational solutions including chat bots voice assistants and intelligent virtual agents. This role involves building natural language understanding (NLU) dialogue management and integration with business systems to deliver seamless context-aware user experiences. The Conversational AI Developer collaborates closely with product managers UX designers data scientists and software engineers to create scalable AI-driven applications.
This position is strictly limited to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will be rejected.
Key Responsibilities
-
Design develop and deploy conversational AI solutions including chatbots and voice assistants
-
Implement NLU intent recognition entity extraction and dialogue management models
-
Integrate conversational AI solutions with internal systems APIs and third-party platforms
-
Optimize AI models for accuracy response time and contextual understanding
-
Conduct testing debugging and performance monitoring of AI systems
-
Collaborate with UX designers to ensure intuitive human-centered conversational experiences
-
Maintain and update AI training data model versions and system documentation
-
Stay current with advancements in NLP machine learning and conversational AI technologies
-
Provide technical guidance and support to cross-functional teams on AI implementation
Required Qualifications
-
Bachelors degree in Computer Science Artificial Intelligence Data Science or a related field
-
35 years of experience in AI/ML development NLP or software engineering
-
Proficiency with conversational AI platforms such as Dialogflow Rasa Microsoft Bot Framework or Amazon Lex
-
Strong programming skills in Python Java or
-
Experience with machine learning frameworks (TensorFlow PyTorch scikit-learn)
-
Solid understanding of NLU NLP dialogue management and intent classification
-
Familiarity with REST APIs webhooks and cloud deployment
-
Strong problem-solving analytical and communication skills
-
Ability to work independently and effectively in a remote environment
Preferred Qualifications
-
Masters degree in AI Machine Learning or NLP
-
Experience with voice-based AI and speech recognition technologies
-
Knowledge of large language models (LLMs) and generative AI integration
-
Familiarity with version control systems (Git) and CI/CD pipelines
-
Prior experience developing enterprise-scale conversational AI applications
Compensation
Benefits
-
Comprehensive medical dental and vision insurance
-
401(k) retirement plan with employer matching
-
Paid time off paid holidays and sick leave
-
Life short-term and long-term disability insurance
-
Flexible remote work arrangement
-
Professional development AI certification and training reimbursement
-
Employee wellness and assistance programs
Work Authorization & Residency Requirement
-
Must be legally authorized to work in the United States
-
Must currently reside within the United States
-
Applications from candidates outside the U.S. will not be considered
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