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Glean AI Engineer - USA/ Canada

  • Canada, United States
  • Remote
  • Posted Oct 15, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Associate
Application method
Direct apply is available

Job summary

Design, build, and deliver production autonomous AI agents on the client’s Glean and OpenAI/GPT Enterprise stack, deployed on AWS or GCP. Own agents from design through production monitoring and iteration, ensuring reliability, security, maintainability, and observability at enterprise scale.

Job details

Role: Glean AI Engineer Location: USA/ Canada – REMOTE Project duration: 12+ months Project Description: We are placing senior AI engineers to design and deliver production agentic AI systems for an enterprise client. You will build autonomous agents on the client’s existing enterprise AI stack. Glean is the agent platform and OpenAI / GPT Enterprise provides the reasoning layer, deployed on AWS or GCP. This is hands-on build work. You own agents from design through production, monitoring, and iteration. You approach agents as production software. You work in terms of triggers, retrieval, reasoning steps, actions, permissions, evaluation, and observability, and you know how to make an agent reliable, secure, and maintainable at enterprise scale. Responsibilities: We are placing senior AI engineers to design and deliver production agentic AI systems for an enterprise client. You will build autonomous agents on the client’s existing enterprise AI stack. Glean is the agent platform and OpenAI / GPT Enterprise provides the reasoning layer, deployed on AWS or GCP. This is hands-on build work. You own agents from design through production, monitoring, and iteration. You approach agents as production software. You work in terms of triggers, retrieval, reasoning steps, actions, permissions, evaluation, and observability, and you know how to make an agent reliable, secure, and maintainable at enterprise scale. Requirements: Must-Have Experience Agentic AI and LLMs 3+ years building with LLMs in production systems that real users depend on. Hands-on experience designing agentic workflows: tool and function calling, retrieval-augmented generation (RAG), multi-step orchestration, and memory. OpenAI / GPT Enterprise. Deep practical experience with the OpenAI API and GPT Enterprise: model selection, prompt engineering, structured outputs, function calling, cost and latency tuning, and data-handling controls. Strong prompt-engineering discipline and an evaluation-first approach. You measure agent quality with evals rather than by inspection. Glean Glean is required. Direct, hands-on production experience with the Glean platform: Agent Builder, Apps, Actions, Model Hub, connectors, and permission-aware retrieval. This is a non-negotiable requirement for the role. Working knowledge of enterprise search and RAG architecture on Glean: indexing, connectors, retrieval quality, and runtime permission enforcement. We need an AI platform admins with experience with API, MCP, integrations/user permissions experience.

What you’ll do

Design, build, and deliver production autonomous AI agents on the client’s Glean and OpenAI/GPT Enterprise stack, deployed on AWS or GCP. Own agents from design through production monitoring and iteration, ensuring reliability, security, maintainability, and observability at enterprise scale.

Requirements

Requires 3+ years building production LLM systems and hands-on experience designing agentic workflows using tool calling, RAG, orchestration, and memory. Requires direct production experience with Glean and practical expertise with OpenAI/GPT Enterprise, evaluation, enterprise search, APIs, MCP, integrations, and user permissions.

Listed skills

  • prompt engineering · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Agentic AI
  • Large Language Models
  • OpenAI API
  • GPT Enterprise
  • Glean
  • Agent Builder
  • Retrieval-Augmented Generation
  • Prompt Engineering
  • Function Calling
  • Multi-Step Orchestration
  • Enterprise Search
  • Permission-Aware Retrieval
  • Model Evaluation
  • API Integrations
  • Model Context Protocol
  • AI Platform Administration

Job areas

  • Technology
  • Software
  • Engineering
  • Data & Analytics

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