Overview
On Site
Contract - W2
Contract - 16 day((s))
Skills
AWS
Python
Conversational AI
NLP
Kafka
Kubernetes
LLM
MLOps
OAuth2
Chatbot
Voice AI Engineer
voice virtual assistants
OA
Job Details
W2 ONLY
Job Title: Voice AI Engineer Voice virtual assistants
Location: Overland Park, KS
Duration: 12+ Months
Position Summary
We are seeking a Voice AI Engineer with strong expertise in developing voice virtual assistants, building intelligent workflows using Large Language Models (LLMs), and deep familiarity with modern cloud-native technologies. This role is ideal for someone who thrives in fast-paced environments, enjoys solving complex problems at scale, and is excited about the future of conversational AI.
Key Responsibilities
- Design, develop, and deploy voice-based virtual assistants integrated with natural language understanding and speech recognition systems.
- Create and maintain LLM-powered playbooks to enable contextual, multi-turn, and task-oriented conversations.
- Implement and maintain microservices and backend infrastructure using Python, Kubernetes, Kafka, and AWS Cloud.
- Develop scalable data pipelines and event-driven architectures for real-time assistant interactions.
- Monitor and improve the performance of deployed models and virtual assistants across multiple platforms.
- Apply best practices in security, CI/CD, and infrastructure as code (IaC).
Required Skills & Qualifications
- 5+ years of experience developing voice assistants or conversational AI applications.
- Hands-on experience with LLMs (e.g., OpenAI, Cohere, Anthropic) and prompt engineering for building task automation and knowledge playbooks.
- Proficiency in Python for backend/API development and orchestration of ML pipelines.
- Experience with Kubernetes for container orchestration and Kafka for building scalable event-driven systems.
- Strong understanding of AWS services, including Lambda, ECS/EKS, S3, and CloudFormation/Terraform.
- Solid knowledge of REST APIs, authentication protocols (OAuth2), and secure cloud architectures.
- Familiarity with NLU/NLP platforms (e.g., Alexa, Rasa, or custom-built engines) is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.