Conversational AI Engineer

Bush and Bush Law Group

. Architect and implement conversational AI systems using platforms like Whisper, VAPI, OpenAI, and other relevant frameworks .

Posted 10/14/2026full-timeRemote • India, Philippines, Pakistan, ColombiaMid-LevelSenior💰 $10,400 - $14,560 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and implementing conversational AI systems, with a strong focus on prompt engineering, integration of third-party APIs, and automated testing frameworks. Proficient in leveraging cloud platforms and NLP technologies to enhance AI model performance and user experience.

Highest-signal resume keywords

Conversational AI ExpertisePrompt Engineering for LLMsIntegration of Third-Party APIsAutomated Testing FrameworksProficiency in Python

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Conversational AINatural Language ProcessingPrompt EngineeringAutomated TestingPythonJavaScriptTypeScriptNLP LibrariesGitCI/CD Pipelines

Soft Skills

Problem-SolvingAttention to DetailCommunicationCollaborationAgile Environment Adaptability

Tools & Technologies

WhisperVAPIOpenAIAWSAzureGoogle CloudHugging FaceSpaCyNLTKDialogflow

Industry Keywords

Conversational AI SystemsVoice-Based AISpeech-to-TextText-to-SpeechChatbot FrameworksRESTful APIsWebSocketsReal-Time Communication

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Architect and implement conversational AI systems using platforms like Whisper, VAPI, OpenAI, and other relevant frameworks
Craft and refine prompts to optimize AI model performance and ensure natural, accurate, context-aware responses
Integrate conversational AI solutions with third-party systems, APIs, and services, including CRMs, messaging platforms, and enterprise tools
Develop and implement automated testing frameworks for conversational AI systems
Fine-tune AI models to improve response quality, reduce latency, and enhance user experience
Collaborate with product managers, UX designers, and software engineers
Monitor system performance, troubleshoot issues, and implement updates
Create technical documentation for AI systems, integrations, and testing processes
Track advancements in conversational AI, NLP, and related technologies

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience)
3+ years of experience in conversational AI, NLP, or related fields
Proven expertise with platforms such as Whisper, VAPI, OpenAI, or similar conversational AI frameworks
Strong experience in prompt engineering for large language models (LLMs)
Hands-on experience integrating third-party systems and APIs into AI solutions
Demonstrated ability to implement automated testing frameworks for AI systems
Proficiency in Python, JavaScript, or TypeScript
Familiarity with AWS, Azure, or Google Cloud
Knowledge of NLP libraries and frameworks such as Hugging Face, spaCy, or NLTK
Experience with Git and CI/CD pipelines
Understanding of RESTful APIs, WebSockets, and real-time communication protocols
Strong problem-solving skills and attention to detail
Excellent communication and collaboration abilities
Ability to work in a fast-paced, agile environment
Experience with voice-based AI systems and speech-to-text/text-to-speech technologies
Familiarity with chatbot frameworks such as Dialogflow, Rasa, or Microsoft Bot Framework

Benefits

Comp & perks

Be part of a supportive and innovative team
Opportunities for career advancement and ongoing professional development
Work from home while contributing to high-impact projects in a collaborative virtual environment