Glean AI Engineer

On-site
Posted Oct 16, 2026
1 position

Opens LinkedIn

Employment type: Contract
Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Associate
Application method: Direct apply is available

Job summary

Design, build, and deploy autonomous AI agents on the client’s Glean and OpenAI/GPT Enterprise stack, hosted on AWS or GCP. Own agents through production, monitoring, evaluation, and iteration, ensuring they are reliable, secure, and maintainable at enterprise scale.

Job details

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

Requirements

Requires at least three years of production LLM experience, hands-on agentic workflow design, and deep practical experience with the OpenAI API and GPT Enterprise. Direct production experience with Glean—including Agent Builder, Apps, Actions, Model Hub, connectors, and permission-aware retrieval—is mandatory, along with experience in APIs, MCP, integrations, and user permissions.