Generative AI Python Engineer – Multi-Agent Systems

Valiant Technologies LLC; Chandler (AZ); On-site; USD 110,000 - 170,000; Full time

Job summary

Valiant Technologies LLC in Chandler, AZ seeks an AI Software Developer with strong Python for AI/ML and Generative AI work. You will contribute to agentic AI architectures and multi-agent components powering our products.

You will design and implement Python AI modules, evaluate TensorFlow/PyTorch, collaborate across teams, and help ensure code quality and ongoing AI innovation for reliable product outcomes.

Qualifications

• Bachelor's degree in CS or related field.
• Strong analytical and critical thinking skills.
• Excellent communication skills, both verbal and written.
• Ability to adapt to new technologies and frameworks quickly.

Responsibilities

• Design, develop, and maintain AI and ML solutions using Python.
• Implement Generative AI models and leverage LLM fundamentals for advanced applications.
• Conduct prompt engineering to optimize AI model performance and user interaction.
• Architect and develop agentic AI systems that can operate autonomously and collaboratively.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
• Participate in code reviews, ensuring best practices in software development and AI implementation.
• Stay updated with the latest AI/ML advancements and apply them to enhance solutions.
• Document development processes, code changes, and system architecture.

Skills

Python for AI

Generative AI

LLM fundamentals

Prompt engineering

Agentic AI

TensorFlow

PyTorch

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

TensorFlow

PyTorch

Job description

Valiant Technologies LLC in Chandler, AZ seeks an AI Software Developer with strong Python for AI/ML and Generative AI work. You will contribute to agentic AI architectures and multi-agent components powering our products.

You will design and implement Python AI modules, evaluate TensorFlow/PyTorch, collaborate across teams, and help ensure code quality and ongoing AI innovation for reliable product outcomes.