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AI Developer (Generative AI / Machine Learning) - FTE

  • Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Experience
Experience: Fresh Graduates(0-5 years)
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Title: AI Developer (Generative AI / Machine Learning) - Fulltime

Location : Toronto

Type : Hybrid (3 days office work is must)

Experience: Fresh Graduates(0-5 years)

Responsibilities:

  1. Design, develop, and deploy AI/ML and Generative AI solutions to solve business problems.
  2. Build, train, fine-tune, and optimize machine learning and large language models (LLMs).
  3. Develop AI-powered applications using Python, LangChain, vector databases, and cloud services.
  4. Integrate AI solutions with enterprise applications, APIs, and data platforms.
  5. Create scalable RAG (Retrieval-Augmented Generation) architectures and AI agents.
  6. Implement data preprocessing, feature engineering, model evaluation, and monitoring.
  7. Ensure AI solutions comply with security, governance, and Responsible AI standards.
  8. Collaborate with product owners, architects, and business stakeholders to define AI use cases.
  9. Perform model performance tuning and troubleshoot production AI workloads.
  10. Stay current with emerging AI technologies, frameworks, and industry best practices.

Required Skills: Python, Machine Learning, Generative AI, LLMs, Prompt Engineering, LangChain, Vector DBs, AWS/Azure AI Services, SQL, APIs.

More about this job

Responsibilities

Design, build, fine-tune, deploy, and optimize machine learning and generative AI solutions, including LLM applications, RAG architectures, and AI agents. Integrate and monitor production AI systems while ensuring security and responsible AI compliance, and collaborate with stakeholders to define use cases.

Requirements

The role targets fresh graduates and candidates with 0–5 years of experience. Required skills include Python, machine learning, generative AI, LLMs, prompt engineering, LangChain, vector databases, AWS or Azure AI services, SQL, and APIs.

Skills

  • Python
  • Machine Learning
  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • LangChain
  • Vector Databases
  • AWS/Azure AI Services
  • SQL
  • APIs
  • Retrieval-Augmented Generation
  • AI Agents
  • Feature Engineering
  • Model Evaluation
  • Model Monitoring

Visa sponsorship

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Categories

  • Technology
  • Software
  • Data & Analytics
  • Engineering

Keywords

  • Python
  • Machine Learning
  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • LangChain
  • Vector Databases
  • AWS
  • Azure AI Services
  • SQL
  • APIs
  • Retrieval-Augmented Generation
  • AI Agents
  • Data Preprocessing
  • Feature Engineering
  • Model Evaluation
  • Model Monitoring
  • Cloud Services
  • Enterprise Applications
  • Data Platforms
  • Security
  • Governance
  • Responsible AI
  • Model Performance Tuning
  • Production AI Workloads

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