AI Technical Writer
Javen Technologies
Job Title: Sr. Technical Writer
Location: Farmington Hills, MI
Contract: 5+ Months (Long Term Contract)
Working Mode: Hybrid JOB DESCRIPTION :
Experience: 5 - 7 years
Must Have:
Summary:
We are looking for a Senior Technical Writer to join our AI agentic engineering team.
What You'll Do:
Core Capabilities:
Nice to Have:
Location: Farmington Hills, MI
Contract: 5+ Months (Long Term Contract)
Working Mode: Hybrid JOB DESCRIPTION :
Experience: 5 - 7 years
Must Have:
- 3-4 years of Document Control experience
- Author
- Taxonomy Development
- Technical Manuals
- Vocabulary
- Markdown Management
- Model Context Protocol
- YAML
Summary:
We are looking for a Senior Technical Writer to join our AI agentic engineering team.
- You will develop and manage the knowledge catalog that our production AI agents read from - authoring the entries that encode how our IT enterprise actually works, and structuring them so agents retrieve the right knowledge at the right moment.
- This is a writing role at its core, but the reader is different.
- Your audience is an AI agent operating under a context budget, and behind it, the engineer who has to trust what that agent produces.
- Success is measured less by page count than by whether agents behave correctly because your entries were clear, correctly scoped, and easy to find.
What You'll Do:
- Author knowledge entries - service overviews, runbooks, decision records, schemas, specifications, and glossary terms - drawn from workflows, policies, engineering standards, and technical documentation
- Write the short descriptions and summaries that drive progressive disclosure - the text an agent reads to decide whether loading the full entry is worth the context it costs
- Structure orientation paths so an agent onboarding to an unfamiliar domain encounters the mental model, entry points, and invariants first, and drills into detail only on demand
- Maintain hierarchy coherence across a growing catalog - cross-linking, indexing, reachability, and the layered structure that keeps entries discoverable as the corpus scales
- Own the scoping metadata that routes entries to the right consumer in the right context - precision here determines whether an agent gets the relevant standard or the wrong one
- Author and maintain prompt assets - reusable skills, agent instructions, and reference material consumed directly by production agents
- Codify engineering constitutions - turn review standards, security requirements, and platform conventions into structured, versioned rules that automated code review agents apply on every pull request
- Interview developers and engineers to capture the rationale behind decisions - the "why " is rarely present in the source material, and it is usually the part that matters most
- Advance entries through review and approval with engineering and governance partners, so only verified content reaches production consumers
- Govern vocabulary - maintain the glossary and naming conventions, resolving terminology collisions before they propagate into schemas, tooling, and agent behavior
- Keep the catalog current - identify and retire stale entries as the systems they describe change
Core Capabilities:
- Writes with precision under hard length constraints, where an unnecessary sentence carries a measurable cost
- Structures information for machine consumption as fluently as for human readers
- Reads primary source material - code, configuration, infrastructure definitions, runbooks - accurately enough to summarize it without an engineer rewriting the result
- Interviews technical staff effectively and recognizes when an answer is incomplete
- Sustains consistency of voice, terminology, and structure across a large, cross-linked corpus
- Exercises editorial judgment about what belongs in the catalog, what should be merged, and what should be removed
- Partners credibly with developers, engineers, and governance teams without needing content pre-digested
- 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
Nice to Have:
- 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, TypeScript, Terraform, or YAML-based configuration
- Experience in banking, financial services, or another regulated industry
Vacancy posted 3 days ago
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