Generative AI Engineer — LLMs, MLOps & Production

Collabera; Toronto; On-site; CAD 83,000 - 90,000; Full time

Job summary

Collabera in Toronto, Ontario, is seeking an AI/ML professional to drive next‑gen AI initiatives across business and technology teams. You will work hands‑on with AI/ML, Generative AI, and agentic AI solutions to prototype use cases that solve real business problems and move them toward production.

The role requires strong fundamentals in ML, experience with LLMs and prompt engineering, multimodal AI, and tools such as LangChain and vector databases.

Qualifications

• Bachelor’s degree in CS/STEM or equivalent experience.
• Hands-on AI/ML with Generative AI experience.
• Strong ML fundamentals and model evaluation.
• Experience with LLMs, prompts, fine-tuning, multimodal AI.
• Proficiency with Python and ReactJS.

Responsibilities

• Support AI and emerging technology initiatives across business and technology teams.
• Prototype AI use cases and solutions that solve real business problems.
• Evaluate and apply foundation models, LLMs, and modern AI frameworks.
• Contribute to RAG, memory systems, tool use, and function-calling patterns.
• Support multi-agent workflows and autonomous AI capabilities.
• Assist with AI experimentation, proof-of-concepts, and solution testing.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Communicate AI concepts clearly to both technical and non-technical audiences.
• Promote responsible AI practices, including ethics, governance, and bias mitigation.

Skills

Python

OpenAI with LLM

ReactJS

NodeJS

Jenkins

GitHub

AI/ML

LangChain

Strands

Crew AI

Vector databases

RAG

Tool calling

AWS Bedrock

Azure/GCP

Education

Bachelor’s degree in CS/STEM or equivalent

Tools

LangChain

Strands

Crew AI

Vector databases

Prompt engineering

CI/CD tooling

AWS Bedrock

Azure

GCP

Job description

Collabera in Toronto, Ontario, is seeking an AI/ML professional to drive next‑gen AI initiatives across business and technology teams. You will work hands‑on with AI/ML, Generative AI, and agentic AI solutions to prototype use cases that solve real business problems and move them toward production.

The role requires strong fundamentals in ML, experience with LLMs and prompt engineering, multimodal AI, and tools such as LangChain and vector databases.