Senior AI Back-End Engineer

Overview

Senior AI Back-End Engineer to design and scale async back-end services and agent/RAG workflows for an AI platform.

What you'll do

• Design and scale async REST and WebSocket APIs using Python 3.11+ and FastAPI.
• Implement multi-agent workflows with Semantic Kernel for sequential, concurrent, and handoff routing.
• Integrate LLM providers via a provider-agnostic layer to support A/B and cost-aware routing.
• Deliver Retrieval-Augmented Generation using vector stores such as Azure AI Search, pgvector, or Chroma.
• Expose tool-using agents via OpenAI Assistants for data analysis and file manipulation.
• Maintain CI/CD pipelines to lint, type-check, test, package (Docker), and deploy services.

What you'll need

• 5+ years building production APIs in Python.
• 2+ years with FastAPI or a similar async stack.
• Deep knowledge of async I/O, Pydantic v2, dependency injection, and observability.
• Hands-on with Semantic Kernel or comparable agent frameworks.
• Practical RAG implementation experience with Azure AI Search, pgvector, or Chroma.
• Strong Postgres skills including SQLModel/SQLAlchemy 2 and Alembic migrations.
• Dependency management via Poetry and virtual-env isolation.

Details

• Location: Canada (Remote) with daily overlap of at least 09:00–13:00 EST.
• Target compensation: $90,000 to $150,000 annually.