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Lead Software Engineer (Conversational Voice Design) @ Remote

Key Facts

Remote From: 
Fixed term
Senior (5-10 years)
English

Roles & Responsibilities

  • Bachelor's or Master's degree in Computer Science or related field
  • Minimum 5 years of experience in software architecture or AI/ML engineering
  • At least 2 years of hands-on experience with Google Cloud Platform
  • Proficiency in Python, Java, or Go

Requirements:

  • 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
  • Collaborate with cross-functional teams to define scalable and maintainable technical solutions

Job description

Role: Lead Software Engineer (Conversational Voice Design)
Duration: Contract
Location: Remote

 
Project description:
We are looking for a Lead Software Engineer to drive the architecture, design, and development of AI-powered conversational and automation solutions within a cloud-native environment. The role will focus on building scalable bot platforms and leveraging modern AI/ML capabilities using Google Cloud technologies and enterprise-approved GenAI tools to support business transformation initiatives.
 
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.
 
Skills
Must have
 
  • 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 is preferred but not required.
 
Nice to have:
  • Experience leading engineering teams and driving AI adoption at scale is a plus.
  • Exceptional communication skills.
  • Ability to deliver exceptional customer service with a positive attitude.
 

Why This Role:

 

Opportunity to directly impact business growth by identifying and hiring the right IT talent for critical projects.
Hands-on exposure to diverse technologies and stakeholders, strengthening recruitment and domain expertise.
Company Name: Pozent

 

Pozent is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients and achieve measurable business outcomes.
Our team is geared towards innovation and thrives where talent meets opportunity.
We work on Generative AI, Cloud, Data Engineering, Automation, and Full-Stack Development, delivering impactful projects

 

Why join us:

 

Exciting Global Projects and career growth: Work directly with top clients and cutting-edge technologies providing a rapid learning curve, skill development, and clear career progression.
Innovation Culture and supportive environment: You are not just joining a company — you're becoming part of a dynamic innovation ecosystem that empowers you to learn, explore, create, grow and lead.

 

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