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Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.
Job Responsibility:
Design & Build AI Agents
Integrate Across the Stack
Iterate for Impact
Ensure Security & Quality
Drive Adoption & Enablement
Requirements:
3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
Proficient in Python and data fundamentals (SQL, JSON, data modeling)
Production deployment expertise, you've shipped AI solutions in production
Experience with API integrations, MCP, webhooks, and connectors
Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
Strong communication skills in both English and French