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Apptoza Inc.

AI Developer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 30, 2026
Experience: 2+ years hands-on AI/ML experience
Posting language: English
Posted: Sep 30, 2026

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Original job description

Role : Senior AI Developer – AI/ML, Python, LangChain, RAG & NLP

Location : Toronto ,ON

Duration : Contract

Role Summary:

We are looking for a Senior AI Engineer to develop, deploy, and optimize AI/ML solutions, including LLM and NLP applications. The role involves model development, RAG pipelines, MLOps, cloud deployment, and production support.

Key Responsibilities:

Develop and optimize ML/AI models for business use cases.
Build LLM applications using Python, LangChain, RAG, Hugging Face, and OpenAI APIs.
Develop NLP solutions for classification, summarization, and entity recognition.
Build scalable ML/data pipelines and automate model deployment using CI/CD.
Deploy and monitor AI solutions across AWS, Azure, or GCP.
Evaluate LLM/model performance, accuracy, fairness, and model drift.
Implement monitoring, logging, and SRE practices for production applications.
Collaborate with Data Scientists, Engineers, Product Owners, and QA teams in Agile environments.
Maintain technical documentation and stay current with emerging AI technologies.

Must-Have Skills:

2+ years hands-on AI/ML experience
Strong Python; Java/C++ is a plus
Machine Learning & advanced AI techniques
LLMs, RAG, LangChain, Hugging Face, OpenAI APIs
NLP
LLM/model evaluation metrics
MLOps, CI/CD, ML pipelines
AWS/Azure/GCP experience
Production monitoring and troubleshooting

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More about this job

Responsibilities

Develop, deploy, and optimize AI/ML models and LLM/NLP applications, including RAG pipelines, scalable data workflows, and automated model deployment. Monitor and evaluate production solutions for performance, accuracy, fairness, and drift while collaborating with cross-functional Agile teams and maintaining technical documentation.

Requirements

Requires at least two years of hands-on AI/ML experience and strong Python skills; Java or C++ is a plus. Candidates should have experience with machine learning, LLMs, RAG, LangChain, Hugging Face, OpenAI APIs, NLP, model evaluation, MLOps, CI/CD, cloud platforms, and production monitoring and troubleshooting.

Skills

Python
Machine Learning
Artificial Intelligence
Large Language Models
Retrieval-Augmented Generation
LangChain
Hugging Face
OpenAI APIs
Natural Language Processing
Model Evaluation
MLOps
CI/CD
Machine Learning Pipelines
Cloud Deployment
Production Monitoring
Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Python
Java
C++
Large Language Models
Retrieval-Augmented Generation
LangChain
Hugging Face
OpenAI APIs
Natural Language Processing
Classification
Summarization
Entity Recognition
Model Evaluation
Fairness
Model Drift
MLOps
CI/CD
Machine Learning Pipelines
AWS
Azure
Google Cloud Platform
Production Monitoring
Logging
Site Reliability Engineering
Agile
Cloud Deployment

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