More jobs:
Sr Technical Writer with AI experience(no third party, only W2
Job in
Farmington Hills, Oakland County, Michigan, USA
Listed on 2026-08-03
Listing for:
CBTS
Full Time
position Listed on 2026-08-03
Job specializations:
-
IT/Tech
Technical Writer
Job Description & How to Apply Below
- 3-4 years of Document Control experience
- Author
- Taxonomy Development
- Technical Manuals
- Vocabulary
- Markdown Management
- YAML
- 5-7 years of technical writing experience in software, platform, or infrastructure environments
- Demonstrated ability to produce accurate technical content from primary sources - code, configuration, specifications, runbooks - with limited hand-holding
- Strong information architecture instincts: taxonomy, cross-linking, layered structure, and progressive disclosure
- Experience authoring reference material, standards, or specification documentation consumed by engineers
- Comfort working directly with developers and engineers, including the credibility to push back when source material is incomplete or contradictory
- Experience partnering with governance, risk, security, or compliance stakeholders
- Editorial discipline - consistency of terminology, voice, and structure maintained across many documents and contributors
- Familiarity with docs-as-code practice:
Markdown, version control, and content that lives in a repository alongside the systems it describes - Clear verbal communication - much of the source material is gathered in conversation, not handed over
- Hands-on experience writing prompts, agent instructions, or reusable skill definitions for LLM-based systems
- Understanding of context management techniques for AI agents - progressive disclosure, context window economics, retrieval strategy
- Experience with structured content - YAML or JSON frontmatter validated against a schema, content models, or typed document formats
- Working comfort with Git and CLI-based authoring workflows - pull requests, validation tooling, link checking, and CI feedback
- Exposure to taxonomy design, ontologies, knowledge graphs, or controlled vocabularies
- Background in developer documentation, API documentation, or internal platform documentation
- Familiarity with AI agent concepts - tool use, orchestration, retrieval, and agent context protocols such as MCP
- Reading-level familiarity with Python, Type Script, Terraform, or YAML-based configuration
- Experience in banking, financial services, or another regulated industry
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