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Python GenAI Developer

  • Mississauga, ON
  • On-site
  • Posted Oct 21, 2026
  • 1 position

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Employment type
Full-time
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Design and build scalable software solutions, develop APIs for generative AI orchestration and analytics workflows, and integrate large language models, agents, and vector databases. Run experiments with new LLM capabilities, perform basic data-loading tasks, and collaborate with the GenAI team to deliver and troubleshoot solutions.

Job details

Design and implement scalable software solutions using modern technology stacks. In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization. Develop and integrate APIs for Gen AI orchestration and data analytics workflows. Integrate popular Large Language Models (LLMs) such as OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc., via API endpoints. Apply prompt engineering techniques and implement LLM agents (e.g., LangChain). Work with vector databases like Pinecone, Chroma, or FAISS for advanced AI solutions. Conduct rapid experiments to evaluate new LLM versions and features. Collaborate with Gen AI leads and other team members to deliver high-quality solutions. Perform basic data engineering tasks to load structured and unstructured data from source systems to target data stores. Debug and troubleshoot software or design issues effectively.

What you’ll do

Design and build scalable software solutions, develop APIs for generative AI orchestration and analytics workflows, and integrate large language models, agents, and vector databases. Run experiments with new LLM capabilities, perform basic data-loading tasks, and collaborate with the GenAI team to deliver and troubleshoot solutions.

Requirements

The role calls for hands-on experience with Python frameworks such as Django, Flask, or FastAPI, along with API development and integration of LLMs. It also requires familiarity with prompt engineering, LLM agents such as LangChain, vector databases, data workflows, and effective debugging.

Listed skills

  • Django · Preferred
  • Troubleshooting · Preferred
  • prompt engineering · Preferred
  • Python · Preferred
  • Flask · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Django
  • Flask
  • FastAPI
  • API Development
  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • LangChain
  • Vector Databases
  • Data Engineering
  • Data Analytics
  • Software Development
  • Debugging
  • Troubleshooting

Job areas

  • Software
  • Technology
  • Data & Analytics
  • Engineering

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