Generative AI Engineer for Robotics Interfaces

ROZOR; Hamilton; On-site; CAD 90,000 - 130,000; Full time

Job summary

ROZOR is seeking a Generative AI Engineer for Robotics Interfaces in Hamilton, ON to design LLM-powered interfaces for commanding and monitoring robots. You will integrate AI into dashboards and apps, enabling mission creation and fleet management through natural-language tools.

The role emphasizes Python, NLP frameworks, and production-grade AI workflows, with a focus on safe, reliable robot actions and cross-team collaboration.

Qualifications

• Bachelor's or Master's in AI, CS, NLP or related field.
• Experience with major language models (OpenAI, HuggingFace, Llama, etc.).
• Python proficiency and modern ML/NLP framework expertise.
• Experience designing conversational interfaces and LLM-based workflows.

Responsibilities

• Create language model interfaces for commanding, configuring, and monitoring robots.
• Build natural language systems for mission creation and robot behavior editing.
• Design AI assistants supporting deployment, diagnostics, and fleet management.
• Integrate generative AI into cloud dashboards, mobile apps, and control tools.
• Develop conversational agents that interpret user intent and generate safe robot actions.
• Collaborate with cloud, autonomy, and product teams on AI use cases.
• Adapt language models for robotics-specific tasks and environments.
• Ensure AI outputs remain safe and aligned with robot safety constraints.
• Create evaluation datasets and testing frameworks for language model behaviors.

Skills

Language models

Python

NLP frameworks

Prompt engineering

LLM workflows

Software integration

Education

Bachelor's or Master's in AI

Tools

HuggingFace

OpenAI

Llama

Job description

Generative AI Engineer for Robotics Interfaces

Hamilton, ON · Canada Full Time AI team

You will develop LLM-powered tools and conversational interfaces that enhance how humans interact with ROZOR robots and cloud dashboards, from natural-language mission creation to AI assistants for fleet management.

Responsibilities

• Create language model interfaces for commanding, configuring, and monitoring robots.
• Build natural language systems for mission creation and robot behavior editing.
• Design AI assistants supporting deployment, diagnostics, and fleet management.
• Integrate generative AI into cloud dashboards, mobile apps, and control tools.
• Develop conversational agents that interpret user intent and generate safe robot actions.
• Collaborate with cloud, autonomy, and product teams on AI use cases.
• Adapt language models for robotics-specific tasks and environments.
• Ensure AI outputs remain safe and aligned with robot safety constraints.
• Create evaluation datasets and testing frameworks for language model behaviors.

What you bring

• Bachelor's or Master's in AI, Computer Science, NLP, or related field.
• Strong experience with major language models (OpenAI, HuggingFace, Llama, etc.).
• Python proficiency and modern ML/NLP framework expertise.
• Experience designing conversational interfaces and LLM-based workflows.
• Knowledge of prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation.
• Ability to integrate AI systems into production software.
• Strong software engineering, debugging, and testing capabilities.