Glean AI Developer / Engineer

Remote • Posted 14 hours ago • Updated 14 hours ago
Contract W2
6 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Glean AI
  • Python
  • TypeScript
  • GenAI
  • LLM
  • RAG

Summary

Role: Glean AI Developer / Engineer

Contract: 6 Months

Location: Remote

Experience: 5–10 years overall; 2–4+ years in GenAI/AI engineering, with strong hands-on Glean experience

Role Summary

We are seeking a hands-on Glean AI Developer/Engineer to design, build, integrate, test and deploy enterprise AI solutions using the Glean platform.

The engineer will work closely with the Glean AI Architect, business analysts, enterprise application teams, and client stakeholders to implement Glean agents, AI applications, enterprise search, RAG solutions, connectors, APIs, actions and workflow automations.

The role requires strong software engineering skills combined with practical experience building enterprise GenAI and agentic solutions.

Required Skills

Must Have

•                    Hands-on development experience with Glean AI.

•                    Experience building Glean Agents / Apps / AI workflows.

•                    Strong Python and/or TypeScript development.

•                    Experience with REST APIs and enterprise integrations.

•                    Experience with GenAI/LLMs and prompt engineering.

•                    Experience with RAG and enterprise search.

•                    Understanding of APIs, OAuth, JSON and web services.

•                    Experience integrating SaaS/enterprise applications.

•                    Experience with Git, CI/CD and modern software engineering practices.

Preferred Skills

•                    Glean Search, Chat and Agents APIs.

•                    Glean Indexing SDK / connector development.

•                    Glean Actions.

•                    MCP / Model Context Protocol.

•                    LangChain / LangGraph.

•                    OpenAI / Azure OpenAI.

•                    AWS Bedrock / Google Vertex AI.

•                    Vector databases and RAG architectures.

•                    Agent evaluation and observability.

•                    ServiceNow, Salesforce, Jira, Confluence, Slack, GitHub or Microsoft 365 integrations.

•                    Cloud development experience in Azure/AWS/Google Cloud Platform.

•                    Experience building production enterprise AI agents.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10179895
  • Position Id: 9096277
  • Posted 14 hours ago
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