AI Developer designing and delivering intelligent, production-grade AI solutions for clients. Building data foundations and shipping LLM features for various applications in cloud environments.
Responsibilities
Build the data foundations for AI and ship LLM features like grounded Q&A (RAG), summarization, semantic search, classification, and copilots.
Set up evaluation and monitoring and use MLOps to safely deploy and maintain models and prompts across cloud environments.
Focus on relationships, building meaningful client connections, and learning how to manage and inspire others.
Anticipate the needs of teams and clients and to deliver quality.
Requirements
Bachelors or Masters degree in Computer Science or similar
Microsoft Development, Azure/Google Cloud Platform or Amazon Web Services Certifications are preferred
Knowledge regarding GenAI technologies is highly desirable: LLM models (GPT-4, ChatGPT), Agent Orchestration Frameworks (Semantic Kernel or LangChain ), Vector Databases (Azure AI Search, etc ), Retrieval Augmented Generation, Azure OpenAI Services, AWS Bedrock, Google Vertex AI, Microsoft Copilots, etc.
Persistence such as RDBMS/NoSQL (MS SQL, Mongo DB) data stores and appropriate use cases
Rapid-prototyping workflows and development tools
Containerization, and experience in using Docker and/or Kubernetes
CI/CD using ADO pipeline or git actions
Experience with software development tools and defect tracking systems like Azure DevOps
Database experience (SQL, Mongo DB)
Working with high level UX principles such as user stories, persona building, prototype/prototype development approaches
Knowledge of agile software development lifecycles (SDLC) and experience working on projects that follow an Agile Scrum methodology
Experience with API-based integration development using python ASP.NET, Azure Cloud, Azure Functions and Logic Apps, Angular, React.js, Next.js, Azure Integration Services, LINQ, MS SQL Server, Entity Framework, GitHub, Azure DevOps, Bootstrap, Node.js, Python, OpenAI ChatGPT APIs or Azure OpenAI are required for the role.
Hiring Senior AI Engineers for hybrid role in Mississauga, ON. Requires experience in AI, ML, Generative AI, Python, NLP/LLMs, and Cloud & Data Engineering.
Senior AI Engineer leading design and development of AI agent capabilities at Fullsteam. Building production - ready solutions that empower clients in the alcohol industry with seamless automation.
Test Lead with banking domain needed for contract in Toronto, ON. Must have 3+ years experience, QA/testing skills, and knowledge of HP ALM, JIRA, Confluence.
Hands - on AI Architect at AI Labb building autonomous AI systems across AWS, GCP, and Azure environments. Leading AI solution architecture and implementation for enterprise clients with a focus on measurable outcomes.
Associate AI Engineer at ShyftLabs working on AI - powered features and backend development. Collaboration with teams to deliver scalable solutions for real - world applications.
Hiring an AI Engineer for a hybrid, full - time permanent role in Mississauga, ON. Seeking passion for AI - driven solutions and enterprise experience.