
Conversational AI Engineer
Posted May 23

Posted May 23
This is a fully remote position, open to applicants in India.
• Design and Development: Architect and implement conversational AI systems utilizing platforms such as Whisper, VAPI, OpenAI, and other relevant frameworks.
• Prompt Engineering: Create and refine prompts to enhance AI model performance, ensuring responses are natural, accurate, and context-aware.
• 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 frameworks for automated testing to guarantee the reliability, performance, and accuracy of conversational AI systems.
• Model Optimization: Fine-tune AI models to improve the quality of responses, decrease latency, and enhance user experience.
• Collaboration: Collaborate closely with product managers, UX designers, and software engineers to align AI capabilities with business and user requirements.
• Monitoring and Maintenance: Monitor system performance, troubleshoot issues, and apply updates to uphold high-quality conversational experiences.
• Documentation: Produce comprehensive technical documentation for AI systems, integrations, and testing processes.
• Stay Current: Remain informed about advancements in conversational AI, NLP, and related technologies to foster innovation.
• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience).
• Experience: A minimum of 3 years in conversational AI, NLP, or related disciplines.
• Proven expertise with platforms such as Whisper, VAPI, OpenAI, or similar conversational AI frameworks.
• Strong background in prompt engineering for large language models (LLMs).
• Practical experience integrating third-party systems and APIs into AI solutions.
• Demonstrated capability to implement automated testing frameworks for AI systems.
• Technical Skills: Proficient 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 abilities and attention to detail.
• Excellent communication and collaboration skills.
• Capacity to thrive in a fast-paced, agile environment.
• Preferred Qualifications: 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).
• Positive Culture: Join a supportive and innovative team.
• Professional Growth: Opportunities for career advancement and continuous professional development.
• Remote Work: Enjoy the flexibility of working from home while contributing to impactful projects in a collaborative virtual setting.
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