Conversational AI Engineer

• Design and Development: Architect and implement conversational AI systems using platforms like Whisper, VAPI, OpenAI, and other relevant frameworks.
• Prompt Engineering: Craft and refine prompts to optimize AI model performance, ensuring natural, accurate, and context-aware responses.
• System Integration: Integrate conversational AI solutions with third-party systems, APIs, and services (e.g., CRMs, messaging platforms, or enterprise tools).
• Automated Testing: Develop and implement automated testing frameworks to ensure the reliability, performance, and accuracy of conversational AI systems.
• Model Optimization: Fine-tune AI models to improve response quality, reduce latency, and enhance user experience.
• Collaboration: Work closely with product managers, UX designers, and software engineers to align AI capabilities with business and user needs.
• Monitoring and Maintenance: Monitor system performance, troubleshoot issues, and implement updates to maintain high-quality conversational experiences.
• Documentation: Create detailed technical documentation for AI systems, integrations, and testing processes.
• Stay Current: Keep up-to-date with advancements in conversational AI, NLP, and related technologies to drive innovation.

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience).
• 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.
• Technical Skills:

• 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.
• Soft Skills:

• 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 (e.g., Dialogflow, Rasa, or Microsoft Bot Framework).

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