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

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