[Hiring] Conversational AI Engineer @Bush & Bush Law Group

Role Description

Bush & Bush Law Group is looking for a Conversational AI Engineer to lead the development and optimization of cutting-edge AI systems that will power client interactions, automate internal workflows, and enhance overall user experience.

Compensation ranges from $5 to $7 per hour.

Key Responsibilities

• 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.

Qualifications

• 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.

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).

Benefits

• Positive Culture: Be part of a supportive and innovative team.
• Professional Growth: Opportunities for career advancement and ongoing professional development.
• Remote Work: Work from home while contributing to high-impact projects in a collaborative virtual environment.