Senior AI Engineer x3 - Agentic AI / Machine Learning

S.I. Systems Ltd.; Toronto; Remote; CAD 120,000 - 180,000; Full time

Job summary

S.I. Systems Ltd. is seeking three Senior AI Engineers to join a remote, 1-year contract for a large retailer's Supply Chain Technology team. The role focuses on Reactive Agentic AI systems, LLMs, and ML workflows, with duties spanning design to production deployment.

You will design and deploy agentic AI applications, integrate LLM-driven solutions, develop RAG pipelines, and build REST APIs. Expect exposure to LangGraph/LangChain, LangFuse/LangSmith, LiteLLM, and cloud services.

Qualifications

• Extensive hands-on experience with Python (REST API development and integration).
• Demonstrated experience building, deploying and maintaining machine learning models in production environments.
• Hands-on experience building Agentic AI applications and workflows using LangGraph or LangChain.
• Experience developing and integrated Large Language Model (LLM)-based applications, including LLM evaluation, prompt engineering, and performance optimization.
• Practical experience with LiteLLM or similar LLM integration and orchestration technologies.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and implementation.
• Experience with AI observability, monitoring and evaluation tools such as LangFuse or LangSmith.
• Experience working with Google Cloud (GCP) - BigQuery and/or Vertex AI, open to AWS/Azure experience
• Hands-on experience with Kubernetes for production deployment.

Responsibilities

• Design, develop and implement agentic AI applications and workflows using frameworks such as LangGraph or LangChain.
• Contribute to the development of reactive AI agents and intelligent workflows supporting the Supply Chain AI platform.
• Build and integrate LLM-powered applications, leveraging technologies such as LiteLLM.
• Design, develop and optimise Retrieval-Augmented Generation (RAG) pipelines and associated data retrieval processes.
• Develop and integrate REST APIs and external services to support AI applications and agentic workflows.
• Apply strong machine learning and data science fundamentals to the development and optimisation of AI solutions.
• Build, train, test and deploy machine learning models into production environments.
• Implement AI observability, monitoring and evaluation solutions using tools such as LangFuse or LangSmith.
• Deploy and manage production-grade AI and ML applications within containerised environments using Docker and Kubernetes.

Skills

Python

LangGraph

LangChain

LLM integration

RAG

AI observability

Kubernetes

GCP BigQuery

REST API

Docker

Tools

LiteLLM

Job description

Senior AI Engineer x3 - Agentic AI / Machine Learning

Senior AI Engineer x3 - Agentic AI / Machine Learning

Duration: 1 Year

Location: Remote (open to occasional in-person for all-hands meetings, if requested)

Our client is Canada's largest retailer. They're looking for three experienced Senior AI Engineers to join their Supply Chain Technology team and contribute to the development of a new AI-powered supply chain platform.

This is an exciting opportunity to work on next-generation AI applications, with a particular focus on Reactive Agentic AI Systems, large-language models (LLMs), and machine learning solutions.

The successful candidate will play an important role in designing, developing, and deploying intelligent AI application and agentic workflows into production.

Key Responsibilities:

• Design, develop and implement agentic AI applications and workflows using frameworks such as LangGraph or LangChain.
• Contribute to the development of reactive AI agents and intelligent workflows supporting the Supply Chain AI platform.
• Build and integrate LLM-powered applications, leveraging technologies such as LiteLLM.
• Design, develop and optimise Retrieval-Augmented Generation (RAG) pipelines and associated data retrieval processes.
• Develop and integrate REST APIs and external services to support AI applications and agentic workflows.
• Apply strong machine learning and data science fundamentals to the development and optimisation of AI solutions.
• Build, train, test and deploy machine learning models into production environments.
• Implement AI observability, monitoring and evaluation solutions using tools such as LangFuse or LangSmith.
• Deploy and manage production-grade AI and ML applications within containerised environments using Docker and Kubernetes.

Must Have Skills:

• Extensive hands-on experience with Python (REST API development and integration), including designing, building, and deploying production-ready solutions.
• Demonstrated experience building, deploying and maintaining machine learning models in production environments.
• Hands-on experience building Agentic AI applications and workflows using LangGraph or LangChain.
• Experience developing and integration Large Language Model (LLM)-based applications, including LLM evaluation, prompt engineering, and performance optimization.
• Practical experience with LiteLLM or similar LLM integration and orchestration technologies.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and implementation.
• Experience with AI observability, monitoring and evaluation tools such as LangFuse or LangSmith.
• Experience working with Google Cloud (GCP) - BigQuery and/or Vertex AI, open to AWS/Azure experience
• Hands-on experience with Kubernetes for production deployment.

Senior AI Engineer x3 - Agentic AI / Machine Learning

Duration: 1 Year

Location: Remote (open to occasional in-person for all-hands meetings, if requested)

Our client is Canada's largest retailer. They're looking for three experienced Senior AI Engineers to join their Supply Chain Technology team and contribute to the development of a new AI-powered supply chain platform.

This is an exciting opportunity to work on next-generation AI applications, with a particular focus on Reactive Agentic AI Systems, large-language models (LLMs), and machine learning solutions.

The successful candidate will play an important role in designing, developing, and deploying intelligent AI application and agentic workflows into production.

Key Responsibilities:

• Design, develop and implement agentic AI applications and workflows using frameworks such as LangGraph or LangChain.
• Contribute to the development of reactive AI agents and intelligent workflows supporting the Supply Chain AI platform.
• Build and integrate LLM-powered applications, leveraging technologies such as LiteLLM.
• Design, develop and optimise Retrieval-Augmented Generation (RAG) pipelines and associated data retrieval processes.
• Develop and integrate REST APIs and external services to support AI applications and agentic workflows.
• Apply strong machine learning and data science fundamentals to the development and optimisation of AI solutions.
• Build, train, test and deploy machine learning models into production environments.
• Implement AI observability, monitoring and evaluation solutions using tools such as LangFuse or LangSmith.
• Deploy and manage production-grade AI and ML applications within containerised environments using Docker and Kubernetes.

Must Have Skills:

• Extensive hands-on experience with Python (REST API development and integration), including designing, building, and deploying production-ready solutions.
• Demonstrated experience building, deploying and maintaining machine learning models in production environments.
• Hands-on experience building Agentic AI applications and workflows using LangGraph or LangChain.
• Experience developing and integration Large Language Model (LLM)-based applications, including LLM evaluation, prompt engineering, and performance optimization.
• Practical experience with LiteLLM or similar LLM integration and orchestration technologies.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and implementation.
• Experience with AI observability, monitoring and evaluation tools such as LangFuse or LangSmith.
• Experience working with Google Cloud (GCP) - BigQuery and/or Vertex AI, open to AWS/Azure experience
• Hands-on experience with Kubernetes for production deployment.

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.