Senior AI Engineer
- Remote, Canada
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Senior engineer to help build a shared AI orchestration platform, working in Python with LangGraph and LangChain; the role is fully remote.
About the role
An enterprise AI programme that supports chat, guided workflows and proactive help across several business areas. The existing engineering group needs someone who can design, integrate and ship agent features quickly.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Canada
- Seniority
- Senior
- Skills
- Python, LangGraph, LangChain, Model Context Protocol, Agent-to-Agent, Arize, APIs
- Posted
- 23 Oct 2026
- Last checked
- 26 Oct 2026
What you will do
- Build and improve AI agents and orchestration logic in Python with LangGraph and LangChain.
- Add guided workflows and chat experiences, plus planning, tool calls and response synthesis.
- Connect agents to backend systems, handle telemetry with Arize, and fix reliability issues.
What they look for
- Hands-on Python development and application building.
- Experience with LangGraph for stateful agent workflows and execution flows.
- LLM apps built with LangChain, including tool and external service integration.
- Knowledge of agentic AI patterns: planning, orchestration and tool calling.
- API integration with backend and enterprise systems.
- Familiarity with Arize or a similar observability and telemetry tool.
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job talbcxc7nwQuestions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in Canada.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: hands-on Python development and application building; experience with LangGraph for stateful agent workflows and execution flows; LLM apps built with LangChain, including tool and external service integration. Skills it names include Python, LangGraph, LangChain, Model Context Protocol.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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