AI Conversational Engineer

Beeutech; United States; Remoto; USD 150.000 - 190.000; Tempo pieno

Descrizione del lavoro

Beeutech is seeking a Lead Software Engineer to drive architecture, design, and development of AI-powered conversational and automation solutions in a cloud-native environment. The role centers on building scalable bot platforms using Google Cloud technologies and GenAI tools to support business transformation initiatives.

You will lead technical design, guide the engineering team, and develop AI/ML solutions with DialogFlow, Vertex AI, and ADK, ensuring productive delivery and continuous

Competenze

• BS or MS in CS or related field.
• 5+ years in software architecture or AI/ML engineering.
• ≥2 years hands-on with Google Cloud Platform.
• Proficiency in Python, Java, or Go.
• Experience with DialogFlow, Vertex AI, ADK and LLM tech.

Mansioni

• Lead technical design and architecture for conversational AI and bot solutions.
• Drive hands-on development and guide the engineering team through implementation.
• 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.

Conoscenze

Software Architecture

GCP

LLMs

Conversational AI

AI/ML Engineering

Python/Java/Go

Formazione

Bachelor's or Master's in Computer Science or related field

Strumenti

DialogFlow

Vertex AI

ADK (Agent Development Kit)

Descrizione del lavoro

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
• Conversational AI

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.

Preferred Skills

• 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