

AI Engineer - Voice Virtual Assistants
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer - Voice Virtual Assistants, located in Overland Park, KS, for 12+ months at a W2 rate. Requires 5+ years in voice AI, expertise in LLMs, Python, Kubernetes, Kafka, and AWS services.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 15, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Overland Park, KS
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π§ - Skills detailed
#AI (Artificial Intelligence) #Automation #API (Application Programming Interface) #Python #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #NLU (Natural Language Understanding) #Kafka (Apache Kafka) #REST API #Terraform #ML (Machine Learning) #Kubernetes #Microservices #NLP (Natural Language Processing) #REST (Representational State Transfer) #Scala #Cloud #Lambda (AWS Lambda)
Role description
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W2 ONLY
Job Title: Voice AI Engineer β Voice virtual assistants
Location: Overland Park, KS - On Site
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.
Key Responsibilities
β’ Design, develop, and deploy voice-based virtual assistants integrated with natural language understanding and speech recognition systems.
β’ Create and maintain LLM-powered playbooks to enable contextual, multi-turn, and task-oriented conversations.
β’ Implement and maintain microservices and backend infrastructure using Python, Kubernetes, Kafka, and AWS Cloud.
Required Skills & Qualifications
β’ 5+ years of experience developing voice assistants or conversational AI applications.
β’ Hands-on experience with LLMs (e.g., OpenAI, Cohere, Anthropic) and prompt engineering for building task automation and knowledge playbooks.
β’ Proficiency in Python for backend/API development and orchestration of ML pipelines.
β’ Experience with Kubernetes for container orchestration and Kafka for building scalable event-driven systems.
β’ Strong understanding of AWS services, including Lambda, ECS/EKS, S3, and CloudFormation/Terraform.
β’ Solid knowledge of REST APIs, authentication protocols (OAuth2), and secure cloud architectures.
β’ Familiarity with NLU/NLP platforms (e.g., Alexa, Rasa, or custom-built engines) is a plus.