Generative AI Engineer

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. Base pay range

$75.00/hr - $90.00/hr 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. Required Skills & Experience

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 Nice to Have Skills & Experience

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 Seniority level

Mid-Senior level Employment type

Contract Industries

IT Services and IT Consulting Toronto, Ontario, Canada CA$150,000.00-CA$250,000.00

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