GenAI Developer

GenAI Developer

High-impact role in the insurance sector focused on advanced data analysis and GenAI-driven sales enablement. Leverage Python, BI tools, and machine learning concepts to transform complex datasets into actionable insights, build performance dashboards, and support AI-powered solutions in a collaborative hybrid environment.

What is in it for you:

• Salaried: $45-53 per hour.

• Incorporated Business Rate: $54-62 per hour.

• 7-month contract.

• Full-time position: 37.50 hours per week.

• Hybrid: 3 days/week in Toronto office.

Responsibilities:

• Prepare, clean, and analyze datasets used for training, validating, and evaluating LLM-based or GenAI features.

• Collaborate with product, sales, and business stakeholders to understand workflows, data requirements, and performance metrics.

• Build dashboards and reporting assets to track adoption, performance, and business impact of sales enablement tools.

• Support prompt evaluation, annotation, and quality assurance to ensure accuracy and reliability of AI-generated outputs.

• Contribute to structured knowledge bases, taxonomies, and metadata supporting RAG-based systems.

• Generate insights to optimize sales processes and improve advisor and end-user experiences.

• Develop and implement analytics solutions aligned with business goals and deliver projects of moderate complexity.

• Analyze complex datasets and connect multiple internal data sources.

• Translate analytical findings into business recommendations for stakeholders and senior data scientists.

• Document data sources, support structured processes, and enable continuous improvement tracking.

• Engage subject matter experts and contribute to collaboration and knowledge sharing.

• Provide guidance and feedback to junior analysts or data scientists when required.

• Participate in daily project updates and communicate with business partners on requirements and timelines.

• Propose and implement technical solutions aligned with business needs and deadlines.

• Perform hands-on data preparation, analysis, and development tasks.

• Prepare presentation materials to communicate proposed solutions.

• Track tasks and progress using Jira.

What you will need to succeed:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent technical experience.

• 3 to 5 years of experience in a data analyst, data scientist, or related analytical role.

• Experience in sales support or sales operations environments, with exposure to insurance industry workflows considered an asset.

• Strong Python programming skills.

• Proficiency with BI tools such as Power BI, Tableau, or similar platforms.

• Knowledge of statistical methods and familiarity with machine learning techniques.

• Experience working with large and complex datasets using structured analytical approaches.

• Understanding of data modeling concepts, relational databases, and basic AI/ML toolkits.

• Familiarity with GitHub and version control practices.

• Knowledge of ML fundamentals including exploratory data analysis, feature engineering, and model testing.

• Exposure to LLM concepts such as prompt engineering, context engineering, and guardrails.

• Ability to translate complex technical concepts into clear business insights.

• Strong problem-solving skills and ability to work autonomously.

• Effective communication skills and ability to collaborate within a team environment.

• Curiosity and willingness to learn GenAI workflows and evaluation techniques.

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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