GenAI Engineer

Insight Global; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

A leading consulting firm based in Toronto is seeking a Generative AI Engineer. This role involves designing and implementing Generative AI solutions across the entire software development lifecycle. Candidates should have deep expertise in GenAI models and practical experience with modern AI design patterns. The position offers an exciting opportunity to drive efficiency and automation within a large consulting client on a 9-month contract.

Qualifications

• Deep technical expertise in GenAI models and architecture.
• Practical experience with modern AI design patterns.
• Experience working in diverse and inclusive environments.

Responsibilities

• Architect and deploy GenAI capabilities across the SDLC.
• Design agentic systems and architectures for enterprise workflows.
• Evaluate and recommend commercial GenAI offerings for SDLC enablement.

Skills

Familiarity with frontier and open-source GenAI models

Agentic design and architecture

Model fine-tuning using real and synthetic data

Experience integrating voice and chat applications

Reinforcement learning techniques

Modern GenAI design patterns

Understanding of vector databases

Knowledge of commercial GenAI offerings

GenAI testing and evaluation approaches

Experience with cloud AI services

Familiarity with MLOps pipelines

Knowledge of AI safety and compliance frameworks

Proficiency in Python frameworks

Understanding of market trends and emerging GenAI startups

Experience with performance tuning

Job description

Overview

Insight Global is seeking a Generative AI Engineer to join one of our large consulting clients on a 9-month contract. This individual will be responsible for designing and implementing Generative AI solutions across the entire software development lifecycle (SDLC), driving efficiency and automation end-to-end. The role requires deep technical expertise in GenAI models, architecture, and integration, as well as practical experience with modern AI design patterns and evaluation frameworks.

Key Responsibilities

• Architect and deploy GenAI capabilities across the SDLC, enabling automation and augmentation from planning through operations.
• Design agentic systems and architectures, integrating frontier and open-source LLMs and SLMs into enterprise workflows.
• Fine-tune models using real and synthetic data for domain-specific performance.
• Integrate voice and chat applications into GenAI platforms using tools like Deepgram and Azure AI Speech.
• Apply reinforcement learning techniques (RLHF and RLAI) to improve model behavior and accuracy.
• Implement modern GenAI design patterns such as Retrieval-Augmented Generation (RAG) and Multi-Component Pipelines (MCP).
• Work with vector databases, embeddings, and function/tool calling for scalable AI solutions.
• Evaluate and recommend commercial GenAI offerings for SDLC enablement, including generative development and AIOps.
• Develop and execute GenAI testing and evaluation frameworks, measuring performance, latency, and token consumption.

Qualifications

• Familiarity with frontier and open-source GenAI models (LLMs and SLMs)
• Agentic design and architecture, including integration with underlying models
• Model fine-tuning using real and synthetic data
• Experience integrating voice and chat applications to enable GenAI platforms
• Reinforcement learning techniques such as RLHF and RLAI
• Practical experience with modern GenAI design patterns (e.g., RAG, MCP)
• Understanding of vector databases, embeddings, and function/tool calls
• Knowledge of commercial GenAI offerings for SDLC enablement (generative development, AIOps)
• GenAI testing and evaluation approaches, including AI evals for performance, latency, and token consumption
• Experience with cloud AI services (Azure AI, AWS Bedrock, GCP Vertex AI).
• Familiarity with MLOps pipelines and deployment best practices.
• Knowledge of AI safety, ethics, and compliance frameworks.
• Exposure to multi-agent orchestration and advanced workflows.
• Proficiency in Python frameworks (LangChain, HuggingFace).
• Understanding of market trends and emerging GenAI startups.
• Experience with performance tuning for large-scale AI systems.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.