Python AI Developer - Generative AI & LLM

Robotic Technologies Automation; Chandler (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotic Technologies Automation in Chandler, AZ seeks an AI Software Developer specializing in Python for AI and ML solutions. You will design and implement Generative AI models, leverage LLM fundamentals, and perform prompt engineering to optimize interactions.

The role entails architecting agentic AI systems, enabling autonomous collaboration across agents, and integrating AI into existing products. Collaboration with cross-functional teams and ongoing learning are expected.

Qualifications

• Proficient in Python for AI/ML solutions.
• Strong understanding of Generative AI concepts and LLM fundamentals.
• Experience with prompt engineering to optimize model outputs.
• Knowledge of agentic AI architecture and multi-agent systems.
• Familiarity with AI frameworks such as TensorFlow or PyTorch.

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 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 products and services.
• Participate in code reviews, ensuring best practices in software development and AI implementation.
• Stay updated with the latest advancements in AI/ML technologies and apply them to solutions.
• Document development processes, code changes, and architecture for future reference.

Skills

Python

Generative AI concepts

LLM fundamentals

Prompt engineering

Agentic AI architecture

TensorFlow/PyTorch

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

Robotic Technologies Automation in Chandler, AZ seeks an AI Software Developer specializing in Python for AI and ML solutions. You will design and implement Generative AI models, leverage LLM fundamentals, and perform prompt engineering to optimize interactions.

The role entails architecting agentic AI systems, enabling autonomous collaboration across agents, and integrating AI into existing products. Collaboration with cross-functional teams and ongoing learning are expected.