AI Engineer

Robotic Process Automation LLC; Toronto; Sur place; CAD 140 000 - 210 000; Plein temps

Résumé du poste

Robotic Technologies Automation in Toronto leads cutting-edge Gen AI product development, architecture, and cloud-native delivery. The role focuses on scalable AI solutions, LLM pipelines, and responsible governance.

The candidate will collaborate with product managers, data scientists, and domain experts to align technical outcomes with business goals. A senior engineer with 8+ years in engineering and leadership of AI initiatives is sought.

Qualifications

• 8+ years total experience in engineering roles.
• 6+ years progressive engineering, with 1–2 years leading emerging tech or AI initiatives.
• Proficiency with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques.
• Experience with AWS cloud services and cloud-native architectures.

Responsabilités

• Lead development of AI products, pilots, and solutions with Python, React, and AWS.
• Design, architect, and build scalable Gen AI solutions incl. LLM pipelines, Graph/RAG architectures, and prompt-based apps.
• Implement cloud-native solutions using AWS services like EKS, Lambda, Fargate, Glue, and Athena.
• Own end-to-end delivery of Gen AI solutions in Agile environments (Scrum/Kanban).
• Monitor operational metrics and drive continuous improvement and reliability.

Connaissances

Gen AI models

AWS

Python

Prompt engineering

LLM pipelines

Graph/RAG architectures

Agile/Scrum/Kanban

Leadership

Agentic AI

LangChain

Formation

Bachelor's or Master's in CS/Engineering

Outils

Terraform

Docker

Kubernetes

Apache Airflow

Bedrock

Weaviate

Milvus

Neo4j

Neptune

Description du poste

The candidate will lead and actively contribute to the development of scalable Gen AI products, architectures, and cloud-native solutions within an Agile environment.

Responsibilities:

• Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
• Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, prompt-based applications, and emerging technologies.
• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
• Optimize performance of AI products, driving continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
• Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
• Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization s AI roadmap.
• Own end-to-end delivery of Gen AI solutions while managing timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
• Monitor operational metrics and incident data to drive continuous improvement and reliability.
• Ensure adherence to governance and DevSecOps protocols.

Experience and Skills:

• 8+ years of total experience, with 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
• Proficiency with Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques.
• Experience with Agentic AI, MCP, and Graph/RAG architectures.
• Experience with Gen AI Frameworks such as LangChain, LlamaIndex, and Amazon Bedrock.
• Strong knowledge of AWS cloud services including EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, and Lake Formation.
• Proficiency with Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments.
• ETL orchestration experience using Apache Airflow and DAGs.
• Experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization.
• Advanced Python programming skills (NumPy, Pandas, Matplotlib, Boto3).
• Experience with automated testing frameworks such as Ragas, Playwright, Zephyr, and Selenium.
• Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
• Knowledge of LLM fine-tuning techniques.
• Experience with BI tools such as QuickSight and Tableau.
• Knowledge of financial markets and enterprise data systems.

Education:

• Bachelor s or Master s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.