Conversational AI Engineer

India. Philippines. Pakistan. ColombiaFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
AWSPythonGCPGitJavascriptNLTKTypeScriptAzureCI/CDRESTful APIsPrompt Engineering

Requirements

  • 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 programming languages such as Python, JavaScript, or TypeScript
  • Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for deploying AI solutions
  • Knowledge of NLP libraries and frameworks (e.g., Hugging Face, spaCy, or NLTK)
  • Experience with version control systems (e.g., Git) and CI/CD pipelines
  • Understanding of RESTful APIs, WebSockets, and real-time communication protocols
  • Experience with voice-based AI systems and speech-to-text/text-to-speech technologies
  • Familiarity with chatbot frameworks (e.g., Dialogflow, Rasa, or Microsoft Bot Framework)

Responsibilities

  • 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, ensuring natural, accurate, and context-aware responses
  • Integrate conversational AI solutions with third-party systems, APIs, and services (e.g., CRMs, messaging platforms, or enterprise tools)
  • Develop and implement automated testing frameworks to ensure the reliability, performance, and accuracy of conversational AI systems
  • Fine-tune AI models to improve response quality, reduce latency, and enhance user experience
  • Work closely with product managers, UX designers, and software engineers to align AI capabilities with business and user needs
  • Monitor system performance, troubleshoot issues, and implement updates to maintain high-quality conversational experiences
  • Create detailed technical documentation for AI systems, integrations, and testing processes
  • Keep up-to-date with advancements in conversational AI, NLP, and related technologies to drive innovation
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