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AgileEngine

Senior Technical Writer ID94768

Reposted Yesterday
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In-Office
Bengaluru North, Yelahanka, Bengaluru Urban, Karnataka, IND
Senior level
In-Office
Bengaluru North, Yelahanka, Bengaluru Urban, Karnataka, IND
Senior level
Designs and automates AI-driven software documentation for end users, developers, and system integrators. Responsibilities include creating documentation architecture, prompt templates, style guides, content models, governance standards, and quality controls; writing and reviewing technical content; validating AI-generated output; measuring documentation effectiveness; and documenting automation systems, configurations, prompts, and decision logic.
The summary above was generated by AI
We are looking for a Senior Technical Writer to design and automate AI-driven software documentation for end users, developers, and system integrators.

The mandatory requirements are 4+ years of technical writing experience, prompt engineering and AI tools, technical knowledge of APIs and systems, and proficiency with Git, YAML, or Markdown.

RECRUITMENT PROCESS
1. Application — Share a few details about your experience and background.

2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.

3. Video Interview — Record a short video introduction in English.

4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

5. Offer — If it’s a match, you’ll receive an offer.

WHAT YOU’LL GAIN
• Remote work — Work from where you feel most productive.

• Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.

• Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.

• Exciting projects — Work with modern technologies for global clients and fast-growing companies.

MUST HAVES
• 4+ years of technical writing experience, with demonstrated expertise in software documentation (SaaS, cloud platforms, or developer-focused content).

• Deep familiarity with prompt engineering and ability to design effective prompts, configure AI tools, and iterate based on output quality to achieve consistent documentation.

• Strong understanding of documentation architecture and information design. Ability to analyze different documentation types and design patterns that scale.

• Technical comfort with APIs, event streaming, batch processing, system architecture, and data models. Ability to understand complex concepts and write documentation that captures them accurately.

• Proficiency with Markdown, YAML, Git, and version-controlled workflows. Comfortable in code editors and command-line environments.

• Strong written and verbal communication skills, with an ability to write clear, user-centered documentation and communicate technical concepts to diverse audiences.

• Attention to detail and excellent organizational skills with the ability to manage multiple priorities and maintain consistency across documentation systems.

• Problem-solving mindset with ability to think critically about processes and advocate for improvements to documentation systems and workflows.

• Experience in fast-paced, cross-functional product environments with the ability to adapt to changing priorities.

• Bachelor's degree in computer science, English, or a related field, or equivalent work experience.

• Upper-intermediate English level.

NICE TO HAVES
• Loyalty product, MarTech, or B2B SaaS experience preferred.

• Redocly documentation framework for API references.

WHAT YOU WILL DO
• Partner with product, engineering, and operations teams to understand documentation needs and user workflows, then design documentation architecture and automation patterns that serve multiple audiences – end users, developers, and system integrators.

• Establish documentation standards and build governance and quality gates directly into the automation system to ensure generated documentation maintains consistency and user value.

• Build and refine prompt templates, style guides, and content models that enable developers and writers to generate consistent, high-quality documentation at scale.

• Write, edit, and review documentation to model excellence, validate automation output quality, and identify patterns that strengthen prompts and templates.

• Measure documentation impact using analytics and user feedback to identify gaps and inform improvements to the automation system, content strategy, and documentation approach.

• Document all systems, configurations, prompts, and decision logic thoroughly so the team can maintain, evolve, and improve the automation system independently.

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