About The Position

This role offers a real impact, where you will design, build, and evolve AI products used daily by thousands of businesses. You will move fast, tackle complex technical challenges, and explore the limits of what multimodal and multi-agent AI can accomplish. At Matador, the company is transforming how the automotive world connects and operates by building cutting-edge AI solutions that power real businesses and shape the future of the automotive industry. If you thrive at the intersection of robust backend systems and practical AI applications, you will feel right at home. This is not theoretical work; you will design, build, and scale AI-powered products that thousands of businesses rely on every day, pushing the boundaries of what’s possible with multimodal, multi-agent AI systems.

Requirements

  • 2+ years of production-grade software engineering experience (backend focus preferred).
  • Strong Python and TypeScript/JavaScript skills.
  • Solid experience with PostgreSQL, AWS, and modern cloud architecture.
  • Hands-on experience with at least one of: Built a RAG pipeline (retrieval + generation), Developed AI agents coordinating multiple LLM calls and tools, Tuned and evaluated LLM outputs with real-world datasets.

Nice To Haves

  • Experience with LangChain, LlamaIndex, or vector databases.
  • Knowledge of prompt engineering, structured outputs, or tool orchestration with LLMs.
  • You’ve shipped a real product and improved it through user feedback.

Responsibilities

  • Architect and optimize retrieval-augmented generation (RAG) pipelines that integrate multiple data sources and models.
  • Design and build multi-agent LLM systems that coordinate tools, memory, and structured outputs.
  • Deploy AI workflows into scalable cloud infrastructure (AWS, PostgreSQL, etc.).
  • Benchmark, evaluate, and fine-tune models with real-world datasets.
  • Ship and iterate on features end-to-end using Python and TypeScript/JavaScript.

Benefits

  • Impactful work: Build AI products used by real businesses, not just experiments.
  • Fast innovation: Ship quickly, learn fast, and stay ahead of the curve.
  • Flexible work: Montreal office or fully remote, with a collaborative, diverse team.
  • Shape the industry: Bring AI’s best ideas to one of the world’s most dynamic sectors.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

11-50 employees

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