Senior AI Engineer / Generative AI

Location:

Toronto, ON Work Model:

Hybrid Employment Type:

Full-Time (FTE) Required Experience

10+ years of software engineering experience with 5+ years in

AI/ML and Generative AI Proven experience designing, developing, and deploying

enterprise-scale GenAI solutions Strong expertise in

LLMs, RAG, Agentic AI, Microservices, and Cloud-based AI platforms Experience leading technical architecture, mentoring engineering teams, and driving engineering best practices Key Responsibilities

Design, architect, and deploy scalable

Generative AI

solutions for enterprise applications. Build

Agentic AI workflows

using LLMs, orchestration frameworks, and AI tools. Develop end-to-end

RAG (Retrieval-Augmented Generation)

pipelines, semantic search, embeddings, and vector-based retrieval solutions. Design and develop scalable backend services, microservices, and secure REST APIs for AI applications. Build and integrate user-facing AI applications using contemporary frontend technologies. Collaborate with Data Engineering, Platform Engineering, and DevOps teams to deliver production-ready AI solutions. Lead model deployment, optimization, monitoring, and lifecycle management. Implement CI/CD pipelines, containerization, and DevOps best practices for AI applications. Conduct architecture reviews, mentor engineering teams, and establish coding standards and best practices. Translate business requirements into scalable, secure, and high-performance AI solutions. Required Technical Skills

Programming & Full Stack Python (Mandatory)



Java R SQL JavaScript ReactJS Node.js HTML5 CSS3 Generative AI & Machine Learning Large Language Models (LLMs) Prompt Engineering Generative AI Natural Language Processing (NLP) Natural Language Understanding (NLU) TensorFlow PyTorch Keras Agentic AI & AI Frameworks LangChain LangGraph Ollama AI Agents & Workflow Orchestration Tool Calling & Function Calling RAG & Knowledge Retrieval Retrieval-Augmented Generation (RAG) Vector Databases Embeddings Semantic Search Vector Search Knowledge Retrieval Architecture & Backend Microservices Architecture REST APIs API Integration Service-Oriented Architecture (SOA) DevOps & Deployment Docker Kubernetes Git GitHub GitHub Actions CI/CD Pipelines Model Deployment & Monitoring Databases SQL NoSQL Preferred Qualifications

Experience with

Azure OpenAI ,

AWS Bedrock , or

Google Vertex AI Experience building distributed, highly available AI systems Knowledge of cloud-native architectures, performance optimization, and scalable AI infrastructure Experience leading enterprise AI initiatives and architecture decisions Preferred Skills

Azure OpenAI Service AWS Bedrock Google Vertex AI Distributed Systems High Availability (HA) Performance Tuning Enterprise AI Architecture Agile/Scrum Delivery Key Competencies

Enterprise AI Solution Architecture Generative AI & LLM Engineering Agentic AI Design Technical Leadership & Mentoring Cloud-Native AI Development Cross-Functional Collaboration Problem Solving & Analytical Thinking Excellent Communication & Stakeholder Management

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📌 Senior AI Engineer / Generative AI | Toronto, ON - Hybrid | Fulltime FTE (Winnipeg)
🏢 AceStack
📍 Winnipeg