Cenovus Energy Inc. | Senior Software & AI Engineer | Full‑Time | ONSITE | Calgary, Alberta, Canada | Relocation Support
We are hiring experienced Senior Software Engineer and AI Developers to help deliver full‑stack products that bring operational automation and domain intelligence to teams (full-stack, agents, RAG, data pipelines, business dashboards).
You’ll need experience in software engineering, proficiency in Python, Ruby, SQL, JavaScript, full‑stack frameworks (Rails, Flask/Dash, etc.), AI toolkits (OpenAI API, LangChain, LlamaIndex, vector stores, RAG pipelines), and experience with agentic development practices. Canadian work authorization and relocation to Calgary is required.
Reach out through link in bio. No recruiters please.
I love the article & the protocol.
However, MCP reminded me (somewhat) of microservices & SOA. Are we creating failure vectors nightmare? Or, is it, because of agents, we can gracefully increase reliability?
How I understood it is that natural language will form relatively large portions of stacks (endpoint descriptions, instructions, prompts, documentations, etc…). In addition to code generated by agents (which would fall under 1.0)
I'm curious about your approach and the nature of those industrial apps. Is it more of recommender agents accessing available sources (through URIs) - or more like explainers. Would be great to connect https://shorturl.at/xdOee