Artefactlinkedin

AI & Agentic Engineer, Senior

Montréal, Quebec, Canada. Posted 2 months ago

The role

You will design and build full-stack AI applications, including interfaces, services, and agentic systems. You will own components from the React front end to the Python or Node service and RAG pipelines.

What you will do

  • Develop user-facing interfaces in TypeScript/React and backend services in Python or Node.
  • Implement agentic behavior including orchestration, tool calling, memory, and guardrails.
  • Build retrieval-augmented generation (RAG) pipelines.
  • Connect AI systems to enterprise data and applications via APIs and protocols like MCP.
  • Write evaluation suites and regression tests for LLM-powered features.
  • Monitor cost, latency, and quality in production.
  • Deploy on cloud infrastructure using containers, serverless, and infrastructure-as-code.
  • Build and maintain data pipelines across warehouses, lakehouses, and vector stores.
  • Use agentic coding tools daily.
  • Communicate progress and trade-offs to clients and support pre-sales.

Required qualifications

  • 3–5 years of experience in software engineering or data engineering.
  • Extensive hands-on use of AI tools and LLM-based development over the past year.
  • Professional English proficiency.
  • Strong programming skills in Python and TypeScript/JavaScript.
  • Experience building and consuming APIs.
  • Experience with front-end development (React or similar).
  • Experience with at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search.
  • Experience with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK).
  • Specialization in at least one major AI platform ecosystem (Google, Anthropic, or OpenAI).
  • Working experience with one cloud platform (GCP, Azure, or AWS).
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.

Nice to have

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.

Benefits

  • Learning and Development
  • Hybrid Flexibility
  • Medical, dental, and vision coverage
  • 401(k) plan with company matching
  • Paid parental leave
  • Unlimited paid time off
  • Growth Opportunities
  • Artefact sponsors the exam for required certification and gives time to prepare

About the company

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact. They sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation.

AI & Agentic Engineer, Senior at Artefactlinkedin | JobZoey