Blueprint Technologies - Senior Technical Content Engineer – AI Documentation
Requirements
• Bachelor’s degree in Computer Science, Technical Communication, English, Information Science, or a related field, or equivalent practical experience. • 4+ years of experience in technical content development, technical writing, or content program management for software, developer, or cloud-based products. • 2+ years of experience with docs-as-code workflows, including Markdown authoring, Git-based collaboration, pull request workflows, and CI/CD publishing pipelines. • Experience using Visual Studio Code or a comparable code editor as a primary authoring environment. • Familiarity with large-scale developer documentation platforms or enterprise documentation ecosystems. • Experience managing content at scale, including information architecture, metadata, taxonomy, localization considerations, and content reuse strategies. • Solid understanding of software development concepts such as version control, APIs, SDKs, command-line tools, scripting, and developer workflows. • Strong written and verbal communication skills with the ability to explain complex technical topics clearly for developer and technical audiences. • Strong program or project management skills, including the ability to manage multiple workstreams, prioritize effectively, and deliver on schedule. • Ability to collaborate with engineering, content, product, design, and cross-functional stakeholders in a fast-paced technical environment. • Prior software engineering experience or experience in a role that involved writing, reviewing, or maintaining code. • Hands-on experience with AI-assisted or agentic coding tools such as AI pair-programming tools, terminal-based coding assistants, or coding automation harnesses. • Proficiency in Python, JavaScript, and/or TypeScript for automation, content tooling, workflow improvements, or AI-enabled documentation processes. • Experience with cloud services, including deploying, managing, or documenting solutions on a major cloud platform. • Familiarity with AI/ML development platforms used to build, evaluate, or deploy models, agents, or AI-powered workflow solutions. • Experience building or contributing to developer tools, CLI utilities, code editor extensions, documentation automation scripts, or publishing pipeline improvements. • Experience supporting open-source or community contribution workflows, including reviewing external pull requests, managing contributor guidelines, and supporting contributor engagement. • Experience using analytics tools or query/reporting platforms to measure content effectiveness, adoption, engagement, and quality. • Knowledge of accessibility standards such as WCAG and inclusive content design principles. • Experience working with technical documentation for security, cloud, developer tools, enterprise software, or AI-enabled platforms.
Responsibilities
• You will support a knowledge engineering and content transformation function focused on improving the documentation lifecycle through AI-enabled tools, automation, and modern docs-as-code practices. This role sits at the intersection of technical content development, content operations, and software engineering-adjacent workflows. • You will help plan, develop, test, and improve AI-powered documentation solutions, including agent skills, automation workflows, internal knowledge resources, and technical content programs. The ideal candidate will be comfortable writing and maintaining developer-facing content while also working in technical environments that include Markdown, Git-based collaboration, CI/CD publishing workflows, scripting, and AI-assisted coding tools. • This is not a traditional technical writing role. The right candidate will bring strong technical content experience along with hands-on comfort using modern engineering tools, automation, and AI-assisted workflows to improve documentation quality, speed, consistency, and scalability. • Plan, scope, and manage technical content programs from ideation through authoring, review, user acceptance testing, publication, and ongoing maintenance. • Author, edit, and review technical content such as internal wiki articles, how-to guides, UAT plans, process documentation, and contributor guidance. • Support docs-as-code workflows using Markdown, code editors, Git-based collaboration, pull requests, issues, and CI/CD publishing processes. • Facilitate user acceptance testing, gather participant feedback, document findings, and recommend next steps. • Monitor adoption, usage, feedback, and success metrics for documentation tools, agent skills, and AI-enabled content workflows. • Track documentation quality indicators such as engagement, satisfaction, time-to-resolution, content freshness, accessibility, and issue resolution. • Triage and resolve content bugs from feedback channels, analytics, and issue backlogs. • Partner cross-functionally with content, engineering, product, design, and transformation stakeholders to coordinate workstreams and ensure documentation accuracy. • Use technical authoring and publishing tools such as Visual Studio Code or similar editors, Markdown linters, static-site publishing systems, and documentation repositories. • Use AI-assisted and agentic coding tools to accelerate content creation, automate repetitive documentation tasks, and prototype workflow improvements. • Identify opportunities to integrate AI-assisted authoring, content generation, quality assurance, and automation into the documentation lifecycle. • Contribute to or build lightweight scripts, tools, extensions, or automation using languages such as Python, JavaScript, TypeScript, or similar technologies.
Benefits
• At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $100,000– $120,000 per annum. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. • $100,000– $120,000 per annum.
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