Generative AI Engineer - Cloud & Production

Machine Learning Technologies, LLC; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an AI Engineer to design, develop and deploy Generative AI and Agentic AI solutions for enterprise applications. You will work with Python and cloud-based AI to ensure performance, security and scalability.

You will collaborate with data engineers, support the full lifecycle from design to production, and help establish observability, AI security and efficient deployment practices in an Agile environment.

Qualifications

• Strong hands-on experience with Python.
• Experience in Generative AI and Agentic AI development.
• Knowledge of cloud-based AI solutions and AI/ML system design.
• Experience with AI model integration and production deployment.
• Understanding of data engineering, AI security, performance, and monitoring.
• Experience with Agile delivery and the full software development lifecycle.
• Strong problem-solving, documentation, and communication skills.

Responsibilities

• Design and develop Generative AI and Agentic AI solutions using Python.
• Build AI agents and integrate AI models with enterprise applications.
• Develop and deploy cloud-based AI/ML solutions into production.
• Support the full AI development lifecycle, from solution design to deployment and monitoring.
• Work with data engineering teams to ensure data quality and reliability.
• Implement AI security, performance optimization, and observability standards.
• Collaborate with cross-functional teams in an Agile environment.

Skills

Python

Generative AI

Agentic AI

Cloud AI

AI model integration

Data engineering

AI security

Agile delivery

Documentation

Communication

Job description

Machine Learning Technologies, LLC is seeking an AI Engineer to design, develop and deploy Generative AI and Agentic AI solutions for enterprise applications. You will work with Python and cloud-based AI to ensure performance, security and scalability.

You will collaborate with data engineers, support the full lifecycle from design to production, and help establish observability, AI security and efficient deployment practices in an Agile environment.