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Senior GenAI Engineer

Robertson & Company Ltd.

Toronto · Hybrid Contract Senior Today

About the role

Introduction

Robertson is seeking a skilled Senior GenAI Engineer to join our client in support of an existing vacancy.

Job Details

  • Contract Period: 6 months
  • Pay Rate: Starting from $62 per hour
  • Location: Toronto, ON
  • Location Type: Hybrid
  • Business Hours: Monday-Friday; Core Business Hours

Job Responsibilities

  • Architect LLM based solutions (RAG pipelines, fine tuning, embeddings, evaluation)
  • Build scalable GenAI microservices and integrate with internal systems
  • Perform advanced prompt engineering, agent design, and safety guardrail development
  • Evaluate models (open source and commercial) for performance, risk, and cost
  • Collaborate with data teams to prepare training data, knowledge bases, and analytics
  • Ensure compliance with insurance regulations and enterprise security frameworks
  • Mentor junior team members and establish best practices
  • Partner with business stakeholders to define problem statements, data requirements, and delivery approaches; document data sources and maintain templates
  • Oversee ongoing ingestion and refresh of knowledge bases and data pipelines supporting RAG
  • Implement checks-and-balances and closed loop measurement to improve solution quality over time
  • Present model performance, insights, and business impact to senior stakeholders
  • Develop business cases and incorporate change management considerations for successful adoption
  • Work with internal and external teams to productionize solutions and coach junior team members through delivery

Experience & Qualification Requirements

  • Bachelor’s degree in Computer Science, Math, Engineering
  • 6+ years in machine learning, NLP, or AI engineering
  • 2+ years in GenAI/LLM work
  • LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc.)
  • RAG, vector databases, embeddings, and model evaluation methods
  • Cloud native architectures (Azure)
  • Excellent problem solving, communication skill
  • Experience deploying GenAI solutions in production environments (MLOps – GENAI Ops)
  • BI/visualization tools (e.g., Power BI/Tableau)
  • Proficiency in Python, data pipelines
  • Understanding of insurance sales, underwriting, or financial services is an asset
  • Strong SQL and data modeling skills; familiarity with relational and NoSQL stores (e.g., Hadoop/NoSQL)
  • Working knowledge of classical ML and statistical methods (e.g., regression, tree based models, clustering) and of applying systematic, structured processes to operationalize analytics/LLM insights
  • Demonstrated ability to translate technical results into business language, manage stakeholder expectations, and support change management for solution rollout

How to Apply

If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.

We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.

Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

Skills

AzureAzure OpenAIEmbeddingsGenAIHadoopLlamaLLMMLOpsNoSQLOpenAIPower BIPythonRAGSQLTableauVector databases

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