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 modern 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

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