Job Title: GEN AI Engineer

Location :Toronto, ON (Hybrid)

Contract Role

We are looking for a senior-level GenAI engineer to lead the development of a large language model assistant for insurance sales advisors. You will design GenAI pipelines, oversee model evaluation and prompt engineering, and partner with engineering teams to bring solutions into production.

Qualifications

• 6+ years in machine learning, NLP, or AI engineering; 2+ years in GenAI/LLM work.
• Hands on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc.).
• Strong expertise in RAG, vector databases, embeddings, and model evaluation methods.
• Proficiency in Python, data pipelines, and cloud native architectures (Azure preferred).
• Experience deploying GenAI solutions in production environments.
• Understanding of insurance sales, underwriting, or financial services is an asset.
• Excellent problem solving, communication, and cross functional leadership skills.
• Bachelor’s degree in Computer Science, Math, Engineering, or equivalent practical experience.
• Strong SQL and data modeling skills; familiarity with relational and NoSQL stores (e.g., Hadoop/NoSQL) and BI/visualization tools (e.g., Power BI/Tableau) is an asset.
• 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

Story Behind the Need – Business Group & Key Projects:

Can you please provide an overview of what a typical day in this role would look like, inclusive of any team members they’d be working with, structure, size, and day-to-day duties Typical Day

• Participate in the daily project update with the core team.
• Communicate with business & technical partners to confirm requirements and clarify timeline constraints.
• Propose and implement technical solutions based on business needs and project deadlines.
• Hands-on work with solution and architecture development tasks, validating the proposed results in POC format, but structuring.
• Sketch or draft Lucid Chart diagrams outlining proposed solutions to share with technical team.
• Log all tasks accurately and consistently in Jira.
• Collaborate closely with a project team of 2–3 members, plus the Data Infrastructure team, Web Backend and Web Front End Team.
• Mentor junior team members and establish best practices
• Report directly to the Project Team Lead.

Are there any additional details you’d like to provide as to why a candidate should be interested in this role

Outside of current hiring needs (s), will there be additional needs for contractors in the next 12 months (forecasting)? Yes

Why is this position open? Temporary workforce expansion to complete a more complex project

Can you provide insight on how you would measure someone’s performance and success in this role The ability to assess the required effort to complete a task without deviating from the scope and timelines. Also, be able to handle blockers and escalations, by trying to solve the challenge within your responsibility reach and proposing feasible alternative.

Candidate Requirements

Must-Have Skills - 1) LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc.).

2) RAG, vector databases, embeddings, and model evaluation methods

3) Cloud‑native architectures (Azure)

4) Excellent problem‑solving, communication

5) Experience deploying GenAI solutions in production environments (MLOps – GENAI Ops)

Nice-to-have Skills—1) BI/visualization tools (e.g., Power BI/Tableau)

Years of Experience: 6+ years in machine learning, NLP, or AI engineering; 2+ years in GenAI/LLM work

Degrees/Certifications Required: Bachelor’s degree in computer science, math, engineering, or equivalent practical experience.