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
3–5 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 Node.js
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
Annual Salary Range: $110,000 – $150,000 USD, based on experience and expertise
Performance-Based Bonus: Eligible, tied to project success and AI solution impact
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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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
3–5 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 Node.js
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
Annual Salary Range: $110,000 – $150,000 USD, based on experience and expertise
Performance-Based Bonus: Eligible, tied to project success and AI solution impact
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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