What are the responsibilities and job description for the Technical Lead Conversational AI position at INA Solution?
Job Title: Lead Engineer – Conversational AI Integration
Location:
- Primary: Charlotte, North Carolina (NC)
- Alternative: St. Louis, Missouri (MO)
- Hybrid options available (if local); Remote requests will not be considered
Contract Type: C2C
Duration: 12 months
Job Overview:
We are seeking a Technical Lead with extensive experience in Conversational AI integration to join our team. This role will involve collaborating with cross-functional teams to design, develop, and deploy conversational AI applications, including chatbots, IVR systems, and virtual assistants. The ideal candidate will have a strong technical background in Conversational AI and AI platform integration.
Key Responsibilities:
- Lead Conversational AI projects, ensuring successful design and implementation of AI solutions.
- Collaborate with cross-functional teams to build, test, and deploy conversational AI applications across IVR, chat, and voice platforms.
- Focus on intent identification and LLM development to improve AI model accuracy.
- Design and implement integrations with external services and RESTful APIs.
- Develop and optimize conversational AI models to improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) capabilities.
- Fine-tune Generative AI models for high-quality, context-aware interactions.
- Build and refine intuitive user interactions for chatbots, virtual assistants, and IVR systems.
Required Qualifications:
- Minimum of 3 years of relevant technical experience, with a strong focus on Conversational AI development and implementation.
- Proficiency in integrating AI solutions with RESTful APIs and other external services.
- Strong experience with conversational AI platforms, frameworks, and tools.
- Expertise in building conversational AI applications (chatbots, virtual assistants, IVR systems).
- Hands-on experience in intent identification and LLM development for improved user interactions.
- Experience with NLP and NLU model development to enhance the understanding and processing of natural language.
Additional Skills (Optional but Preferred):
- Familiarity with Kore AI or other similar conversational AI platforms.
- Experience working with Generative AI models for high-quality conversational outcomes.
- Initial internal interview followed by a client interview (if applicable).
- In-person interviews are required for local candidates; remote candidates will have client video calls.
This is a great opportunity for an experienced Conversational AI engineer to work in a dynamic environment. If you are passionate about advancing conversational AI technology and working with cutting-edge tools, we would love to hear from you!