Exciting opportunity in the insurance sector to work on cutting-edge AI solutions powered by LLMs and RAG pipelines. This hybrid Toronto-based role offers hands-on innovation, real business impact, and collaboration on high-visibility projects shaping the future of intelligent systems.

What is in it for you:

• Salaried: $55-65 per hour.
• Incorporated Business Rate: $65-75 per hour.
• 7-month contract.
• Full-time position: 37.50 hours per week.
• Hybrid: 3 days/week in Toronto office.

Responsibilities:

• Design and architect LLM-based solutions, including RAG pipelines, fine-tuning, embeddings, and evaluation frameworks.
• Build scalable GenAI microservices and integrate them with internal systems.
• Perform prompt engineering, agent design, and implement safety guardrails.
• Evaluate open-source and commercial models for performance, risk, and cost.
• Collaborate with data teams to prepare training datasets, knowledge bases, and analytics.
• Ensure compliance with insurance regulations and enterprise security standards.
• Partner with stakeholders to define problem statements, data needs, and delivery approaches.
• Document data sources and maintain structured templates.
• Oversee ingestion and refresh of knowledge bases and data pipelines supporting RAG solutions.
• Implement quality controls and continuous improvement mechanisms.
• Present model performance, insights, and business impact to senior stakeholders.
• Develop business cases and support change management for solution adoption.
• Work with internal and external teams to productionize solutions.
• Mentor junior team members and contribute to best practices.
• Participate in daily project updates and communicate with business and technical partners.
• Propose and implement technical solutions aligned with timelines and requirements.
• Develop proof-of-concept solutions and architecture diagrams.
• Track tasks and progress using Jira.

What you will need to succeed:

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• 6+ years of experience in machine learning, NLP, or AI engineering.
• 2+ years of hands-on experience with GenAI and LLM technologies.
• Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or Llama.
• Strong expertise in RAG, vector databases, embeddings, and model evaluation methods.
• Proficiency in Python, data pipelines, and cloud-native architectures, preferably Azure.
• Experience deploying GenAI solutions in production environments.
• Strong SQL and data modeling skills, with familiarity in relational and NoSQL databases.
• Knowledge of BI and visualization tools such as Power BI or Tableau is an asset.
• Understanding of classical machine learning and statistical methods.
• Ability to translate technical results into business insights and support stakeholder decision-making.
• Strong problem-solving, communication, and cross-functional collaboration skills.
• Experience in insurance, underwriting, or financial services is an asset.

Why Recruit Action?

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

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