Pozent CorporationRemote
Lead Software Engineer (Conversational Voice Design) @ Remote
United States of America
Contract
1 week ago
H1B Sponsor Likely
Key skills
Software ArchitectureGoogle Cloud PlatformGoogle DialogFlowVertex AIAgent Development KitLarge Language ModelsPythonJavaGoAI/ML EngineeringGoogle Cloud certificationGenerative AIPrompt EngineeringAIMLGenAILLMGCPGoogle CloudGitHubCommunication
About this role
Pozent Corporation is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients. They are seeking a Lead Software Engineer to drive the architecture, design, and development of AI-powered conversational and automation solutions within a cloud-native environment.
Responsibilities:
- Lead technical design and architecture for conversational AI and bot solutions
- Drive hands-on development and guide the engineering team through implementation and delivery
- Develop and optimize AI/ML and LLM-based solutions using Google Cloud technologies
- Ensure adoption of enterprise-approved AI tools to improve engineering productivity and delivery quality
- Collaborate with cross-functional teams to define scalable and maintainable technical solutions
Requirements:
- Software Architecture
- Google Cloud Platform (GCP)
- Google DialogFlow
- Vertex AI
- Agent Development Kit (ADK)
- Large Language Models (LLMs)
- Python / Java / Go
- AI/ML Engineering
- Bachelor's or Master's degree in Computer Science or related field
- Minimum 5 years of experience in software architecture or AI/ML engineering, including at least 2 years of hands-on experience with Google Cloud Platform
- Strong experience designing and developing conversational AI solutions using Google DialogFlow, Vertex AI, ADK, and LLM technologies
- Proficiency in Python, Java, or Go is required
- Candidates are expected to demonstrate day-to-day usage of enterprise-approved AI tools (e.g., GitHub Copilot, Microsoft 365 Copilot, and approved GenAI platforms) to improve coding efficiency, documentation quality, analysis, and decision-making while maintaining continuous learning of emerging AI capabilities
- Google Cloud certification
- Experience with Generative AI, prompt engineering, and advanced LLM use cases
- Healthcare industry experience or exposure to healthcare systems
- Experience leading engineering teams and driving AI adoption at scale
- Exceptional communication skills
- Ability to deliver exceptional customer service with a positive attitude