Sr. AI Engineer to develop Agentic AI solutions using Python and LangGraph for our enterprise retail client

Location: 1 Day On-Site per week (North Mississauga or downtown Toronto near Bathurst & Lakeshore)

Contract Duration: Until the end of 2027

Interview Process: 2 Rounds. First round, 30 Minutes with the hiring Manager. Second round: 90 Minute, in-person panel style interview at Bathurst & Lakeshore.

Overview

Our enterprise retail client is looking for

4 AI Engineers to join a newly forming AI Development pod focused on building Agentic AI solutions across Data, Loyalty and Marketing.

The team is building internal AI applications that will support business users across multiple use cases, including AI agents that can assist with activities such as marketing campaign development, assessment and decision support with human oversight.

You will develop on an existing enterprise Agentic AI platform, building production-ready AI agents and workflows using

Python, LangGraph and Langfuse . This is a hands‑on development role for someone with a strong Python engineering foundation and practical experience building LLM/AI applications.

Must‑Haves

5+ years of professional software development experience with strong hands‑on

Python development

Hands‑on experience building

LLM, Generative AI or Agentic AI applications

Experience with

LangGraph or a similar AI orchestration framework

Experience with

Langfuse or a similar LLM observability platform

Experience developing REST APIs using FastAPI, Flask or similar Python frameworks





Strong cloud experience (GCP preferred; AWS or Azure considered), with familiarity troubleshooting cloud applications, logs and containerized workloads

Experience with RAG, embeddings and/or vector search

Strong communication, problem‑solving skills and ability to work independently

Nice‑to‑Haves

Hands‑on

GCP experience, including Vertex AI and/or BigQuery

Kubernetes and Docker

React / front‑end development experience

Experience with Gemini, OpenAI, Anthropic or other LLMs

Experience within retail, loyalty or marketing environments

Location: 1 Day On‑Site per week (North Mississauga or downtown Toronto near Bathurst & Lakeshore)

Contract Duration: Until the end of 2027

Interview Process: 2 Rounds. First round, 30 Minutes with the hiring Manager. Second round: 90 Minute, in‑person panel style interview at Bathurst & Lakeshore.

Overview

Our enterprise retail client is looking for

4 AI Engineers to join a newly forming AI Development pod focused on building Agentic AI solutions across Data, Loyalty and Marketing.

The team is building internal AI applications that will support business users across multiple use cases,



including AI agents that can assist with activities such as marketing campaign development, assessment and decision support with human oversight.

You will develop on an existing enterprise Agentic AI platform, building production‑ready AI agents and workflows using

Python, LangGraph and Langfuse . This is a hands‑on development role for someone with a strong Python engineering foundation and practical experience building LLM/AI applications.

Must‑Haves

5+ years of professional software development experience with strong hands‑on

Python development

Hands‑on experience building

LLM, Generative AI or Agentic AI applications

Experience with

LangGraph or a similar AI orchestration framework

Experience with

Langfuse or a similar LLM observability platform

Experience developing REST APIs using FastAPI, Flask or similar Python frameworks

Strong cloud experience (GCP preferred; AWS or Azure considered), with familiarity troubleshooting cloud applications, logs and containerized workloads

Experience with RAG, embeddings and/or vector search

Robust communication, problem‑solving skills and ability to work independently

Nice‑to‑Haves

Hands‑on

GCP experience, including Vertex AI and/or BigQuery

Kubernetes and Docker

Model Context Protocol (MCP)

React / front‑end development experience

Experience with Gemini, OpenAI, Anthropic or other LLMs

Experience within retail, loyalty or marketing environments

Disclaimer

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

📌 Sr. AI Engineer to develop Agentic AI solutions using Python and LangGraph for our enterprise retail (Toronto)
🏢 S.i. Systems
📍 Toronto