Senior Agentic AI Engineer
Location(s): Mississauga, Ontario, Canada
CAD 120K-170K Senior-level Full Time
Tasks
- Architect context engineering strategies
- Build Retrieval Augmented Generation systems
- Create agent harnesses with governance and controls
- Deploy scalable real time and streaming AI applications
- Design and implement generative AI solutions
- Design knowledge graphs and graph RAG architectures
- Ensure ethical AI compliance guardrails and data privacy
- Implement hybrid search and reranking pipelines
- Implement production observability and evaluation for agent systems
- Integrate agents with tools and data using model context protocol
- Mentor junior engineers and perform code reviews
- Orchestrate inter agent collaboration using agent2agent protocol
- Orchestrate multi agent workflows and agent systems
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | ADK | AWS | Agent Development Kit | Agent Orchestration | Agent2Agent | Agentic AI | Agents SDK | ArangoDB | CI/CD | Context engineering | CrewAI | Dependency Parsing | Docker | Embeddings | Entity recognition | Evaluation | Foundation Models | Generative AI | Google Agent Development Kit | Governance | Graph RAG | Hierarchical Orchestration | Hybrid search | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MCP | Memory Management | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Multi-vector Retrieval | NLP | Named Entity Recognition | Neo4j | OpenAI Agents | OpenAI Agents SDK | OpenTelemetry | Peer-to-peer | Planning | Prompt engineering | Python | RAG | Reranking | Retrieval-Augmented Generation | Sandboxing | Supervisor Worker | Text Classification | Tokenization | Tool-Calling | Topic Modeling | Tracing | Vector Databases | Vector Retrieval
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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