Software Engineer - AI

Applied AI Engineering Role

Core Responsibilities

• Translate product requirements into AI or deterministic software solutions.
• Build Python AI services, agent workflows, RAG systems, model integrations, and event-driven workflows.
• Run evaluations, debug production AI failures, and improve quality, safety, latency, reliability, and cost.
• Own assigned features across APIs, workflows, data, queues, model integration, observability, and production support.

Required Experience

• 3+ years building production backend, distributed, or cloud-based software systems.
• At least 1 year building applied AI, LLM, RAG, NLP, or agent-based applications.
• Strong Python, FastAPI, asynchronous programming, API development, and distributed-systems fundamentals.
• Hands-on queue or messaging architecture experience and LLM API integration experience.
• Experience contributing to RAG or knowledge-grounded systems and working knowledge of PostgreSQL and data modeling.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, or equivalent tools.

Preferred Experience

• Experience with Docker, CI/CD, testing, logging, observability, tracing, OpenTelemetry, or Langfuse is preferred.
• Experience with Semantic Kernel, Microsoft Agent Framework, LangGraph, PydanticAI, MCP, LiteLLM, Azure AI Search, pgvector, Chroma, Kubernetes, Azure, or OCI is valued.
• Customer-facing AI products, open-weight model inference, AI safety controls, automated evaluations, or high-scale backend platform experience can help candidates stand out.

Workplace

• The source URL identifies the role as remote in Quebec, Canada.