# Software Engineer ## About the Role We're looking for a Software Engineer to join our engineering team and help build reliable, scalable backend systems. In this role, you'll design and maintain core services, collaborate with cross-functional teammates, and contribute to the technical decisions that shape our product. If you enjoy solving complex problems and writing clean, maintainable code, we'd love to hear from you. ## Key Responsibilities - Design, develop, and maintain backend services, APIs, and databases - Troubleshoot, debug, and resolve issues across development and production environments - Write clean, well-tested, and well-documented code following team best practices - Collaborate with product managers, designers, and fellow engineers to deliver new features - Participate in code reviews and contribute to continuous improvement of engineering processes - Optimize applications for performance, scalability, and reliability ## Required Qualifications - 5+ years of professional software development experience - Proficiency in one or more modern programming languages (e.g., Python, Java, Go, JavaScript/Node.js) - Strong understanding of backend fundamentals: APIs, databases, and system design - Experience writing automated tests and debugging complex issues - Solid grasp of version control (Git) and collaborative development workflows - Strong communication skills and the ability to work effectively in a team ## Preferred Qualifications - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with containerization tools such as Docker and Kubernetes - Background in building distributed or high-traffic systems - Experience mentoring other engineers or leading technical projects ## What We Offer - Competitive salary and performance-based bonuses - Comprehensive health, dental, and vision benefits - Flexible working arrangements and paid time off - Professional development budget and learning opportunities - A collaborative, inclusive team culture that values diverse perspectives We encourage applicants from all backgrounds to apply, even if you don't meet every qualification listed. --- ### Key Improvements - **Removed gendered and exclusionary language:** Replaced "he" with neutral phrasing and added an inclusive closing statement to welcome diverse candidates. - **Eliminated jargon and buzzwords:** Cut terms like "rockstar," "ninja," and "only serious applicants apply," which can deter qualified candidates. - **Added structure and clarity:** Organized content into clear sections with concise bullet points for easy scanning. - **Expanded vague details:** Replaced "various languages" and "other duties as assigned" with specific, meaningful responsibilities and skills. - **Strengthened employer branding:** Added a welcoming "About the Role" intro and a detailed "What We Offer" section to attract top candidates. - **Balanced requirements:** Separated must-haves from nice-to-haves to widen the qualified applicant pool.
Rewrite and Improve Existing Job Descriptions with AI
Tested prompts for job description rewriter ai compared across 5 leading AI models.
BEST BY JUDGE SCORE
Claude Haiku 4.5
8/10
If you're searching for a job description rewriter AI, you're probably staring at a job posting that's too long, too generic, too biased, or simply not attracting the right candidates. Maybe it was written three years ago and still says 'rockstar' and 'ninja.' Maybe it was copied from a competitor's site. Maybe it reads like a legal document instead of a reason to apply. Whatever the source, the problem is the same: the words on the page are costing you qualified applicants.
AI job description rewriters solve this by taking your existing text and restructuring it for clarity, inclusion, and candidate appeal without requiring you to start from scratch. You keep the role's actual requirements. The AI strips out the noise, tightens the language, and formats the output in a way that performs better in job board search and converts more passive readers into active applicants.
This page shows you exactly how that process works. You'll see the prompt used, outputs from four different AI models, a side-by-side comparison, and practical guidance on when this approach delivers results and when it doesn't. If you need to fix a job description today, you're in the right place.
When to use this
AI job description rewriting fits best when you have raw material to work with but the execution is off. It's faster than writing from scratch and more consistent than editing by committee. Use it when the role is well-understood internally but the written version doesn't reflect that clarity, or when you're refreshing a library of outdated postings at scale.
- You're updating a backlog of legacy job postings that use outdated language, inflated requirements, or biased phrasing
- A hiring manager submitted a job description written as an internal memo and it needs to be rewritten for public-facing job boards
- You need to adapt one job description into multiple versions targeting different experience levels or candidate personas
- Your current posting has a high view-to-apply drop-off and you suspect the language is the problem
- You're standardizing job descriptions across departments that were each written by different people with different styles
When this format breaks down
- The role is brand new with no prior description and no internal clarity on scope, responsibilities, or requirements. AI rewrites need raw material. If the inputs are vague, the outputs will be polished but wrong.
- Your posting needs to comply with specific legal or union contract language. AI will optimize for readability and may strip or rephrase language that has compliance implications. A lawyer should review anything contractually binding.
- You're trying to rewrite a posting to obscure the real nature of the role, for example burying heavy travel requirements or misrepresenting seniority level. AI will make the deception more readable, which increases candidate frustration and early attrition.
- The job description is already performing well with strong apply rates and quality hires. Rewriting it introduces risk with no clear upside. If it isn't broken, don't optimize it.
The prompt we tested
You are an expert job description writer and employer branding specialist. Rewrite the following job description to make it clearer, more engaging, inclusive, and optimized for attracting qualified candidates, while preserving all essential role information. Follow these rules: Use clear, active, inclusive language and remove jargon, gendered terms, and vague buzzwords. Format responsibilities and qualifications as concise bullet points (5-8 per section), keep the total length under 400 words, and ensure the tone is professional yet welcoming. Original job description: Software Engineer needed. Must be a rockstar ninja with 5+ years of experience coding in various languages. He will be responsible for handling all backend tasks, fixing bugs, and other duties as assigned. Competitive salary. Only serious applicants apply. Return the rewritten job description in a clean, structured format with these sections: Job Title, About the Role, Key Responsibilities, Required Qualifications, Preferred Qualifications, What We Offer. After the rewrite, include a short 'Key Improvements' bullet list explaining what you changed and why.
Model comparison
| Model | Quality | Cost | Latency | Tokens |
|---|---|---|---|---|
| Claude Opus 4.7 | 8 | $0.0783 | 12.7s | 368 / 971 |
| Claude Haiku 4.5 | 8 | $0.0029 | 5.2s | 245 / 530 |
| GPT-5.4 | 7 | $0.0071 | 8.2s | 212 / 441 |
| Gemini 2.5 Pro | 4 | $0.0009 | 19.2s | 214 / 121 |
| Grok 4.1 Fast Reasoning | 7 | $0.0003 | 11.4s | 361 / 450 |
Outputs
# SOFTWARE ENGINEER ## About the Role We're looking for a skilled Software Engineer to join our growing team and help build scalable backend systems. You'll work on meaningful projects, collaborate with cross-functional teams, and have opportunities to grow your technical skills in a supportive environment. ## Key Responsibilities - Design, develop, and maintain backend systems and APIs - Identify, troubleshoot, and resolve software defects and performance issues - Write clean, well-documented code and participate in code reviews - Collaborate with product and engineering teams to implement new features - Contribute to system architecture decisions and technical improvements - Participate in on-call rotation to support production systems - Share knowledge and mentor junior team members when appropriate ## Required Qualifications - 5+ years of professional software development experience - Proficiency with at least one modern programming language (Python, Java, Go, Node.js, or similar) - Strong understanding of backend architecture, databases, and APIs - Experience with version control systems (Git) - Problem-solving mindset and ability to write maintainable code - Excellent communication skills and collaborative work style ## Preferred Qualifications - Experience with cloud platforms (AWS, Google Cloud, or Azure) - Familiarity with containerization and DevOps practices - Knowledge of microservices architecture - Contributions to open-source projects ## What We Offer - Competitive salary commensurate with experience - Professional development and learning opportunities - Flexible work arrangements - Comprehensive health and wellness benefits - Collaborative, inclusive team environment --- ## Key Improvements ✓ **Removed unprofessional language** — Eliminated "rockstar ninja" and vague phrases; replaced with respectful, skill-based language ✓ **Removed gendered pronouns** — Changed "He will" to neutral framing for inclusive recruitment ✓ **Clarified responsibilities** — Expanded vague "other duties as assigned" into specific, meaningful contributions ✓ **Structured qualifications** — Separated must-haves from nice-to-haves for clarity ✓ **Improved tone** — Replaced "only serious applicants" with welcoming language that attracts confident candidates ✓ **Added concrete benefits** — Specified competitive offerings beyond salary to demonstrate employer value ✓ **Enhanced readability** — Used clean formatting and active voice throughout
**Job Title** Software Engineer **About the Role** We are seeking a Software Engineer to help design, build, maintain, and improve backend systems that support our products and services. In this role, you will work with cross-functional partners to deliver reliable, scalable software, troubleshoot issues, and contribute to ongoing system improvements. We welcome candidates who bring strong technical skills, curiosity, and a collaborative approach. **Key Responsibilities** - Design, develop, test, and maintain backend applications and services - Troubleshoot, debug, and resolve software defects and performance issues - Write clean, efficient, and well-documented code - Collaborate with product, engineering, and other team members to deliver features and enhancements - Support system reliability, scalability, and maintainability through continuous improvement - Participate in code reviews and follow engineering best practices - Assist with technical documentation and knowledge sharing across the team **Required Qualifications** - 5+ years of professional software development experience - Experience building backend systems and services - Proficiency in one or more programming languages - Strong problem-solving and debugging skills - Experience working in a collaborative development environment - Ability to manage priorities and complete work with attention to quality - Clear written and verbal communication skills **Preferred Qualifications** - Experience working with multiple programming languages - Familiarity with software testing, version control, and code review practices - Experience improving application performance and system reliability - Understanding of scalable system design principles - Experience working with cross-functional teams in a product or engineering environment **What We Offer** - Competitive salary - Opportunities to work on meaningful technical challenges - A collaborative and supportive team environment - Ongoing learning and professional growth opportunities **Key Improvements** - Replaced exclusionary and vague terms like “rockstar ninja” with clear, inclusive language - Removed gendered wording and used role-focused, welcoming phrasing - Expanded vague duties into specific backend engineering responsibilities - Organized content into structured sections and concise bullet points for readability - Clarified required experience and skills to better attract qualified candidates - Improved employer brand tone by making the posting more professional and engaging
Of course. Here is the rewritten job description, followed by a summary of the key improvements. *** ### **Rewritten Job Description** **Job Title:** Backend Software Engineer **About the Role** We are looking for a skilled Backend Software Engineer to join our collaborative and growing engineering team. In this role, you will be a key contributor to the core services that power our platform, directly impacting the experience of our users. You will have the opportunity to solve complex challenges, improve system performance, and help shape the future of our technology stack in a supportive and innovative environment. **
### Job Title Software Engineer ### About the Role Join our growing team as a Software Engineer, where you'll focus on backend development to build reliable, scalable applications. We value collaboration, innovation, and work-life balance, and we're looking for someone passionate about clean code and problem-solving. ### Key Responsibilities - Design and implement backend services and APIs - Write clean, efficient code in multiple programming languages - Identify, debug, and resolve issues across the codebase - Optimize application performance and scalability - Collaborate with cross-functional teams on feature development - Conduct code reviews to ensure quality standards - Support deployment and maintenance tasks - Take on additional projects to support team goals ### Required Qualifications - 5+ years of hands-on software engineering experience - Proficiency in multiple programming languages (e.g., Python, Java, Node.js) - Strong experience with backend development and databases - Proven ability to debug and fix complex bugs - Solid understanding of software development lifecycle - Excellent problem-solving and analytical skills - Ability to work independently and in teams - Bachelor's degree in Computer Science or related field (or equivalent experience) ### Preferred Qualifications - Experience with cloud platforms (e.g., AWS, Azure) - Familiarity with containerization (e.g., Docker) and CI/CD pipelines - Knowledge of microservices architecture - Contributions to open-source projects ### What We Offer - Competitive salary based on experience - Comprehensive health benefits and retirement plans - Flexible remote/hybrid work options - Professional development opportunities and paid time off - Collaborative, inclusive culture with regular team events **Key Improvements** - **Removed jargon and bias**: Eliminated "rockstar ninja" and "he" for inclusivity; dropped "only serious applicants" to welcome all qualified candidates. - **Added structure and engagement**: Used specified sections, short intro, and welcoming tone to attract talent while keeping under 350 words. - **Expanded bullets thoughtfully**: Created 5-8 concise, active bullets per section, preserving essentials (e.g., 5+ years, backend, bugs) and adding realistic details for clarity and appeal. - **Enhanced branding**: Included benefits and preferences to optimize for qualified applicants without altering core role info.
What makes these work
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01Lead with the candidate, not the company
Most job descriptions open with a company bio nobody asked for. Rewrite prompts perform better when you instruct the AI to address the candidate directly and lead with what the role offers or requires. Swap 'We are a fast-growing SaaS company' for 'You'll own...' and apply rates tend to improve.
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02Give the AI the full original text
Summarizing the old posting before pasting it loses signal. Paste the full original, even if it's messy, so the AI can make editing decisions rather than invention decisions. The more raw material it has, the less likely it is to hallucinate requirements or responsibilities that don't match the role.
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03Specify what to remove, not just what to improve
Effective rewriter prompts include explicit constraints: remove degree requirements unless essential, cut phrases like 'fast-paced environment,' eliminate gendered language, cap the required skills list at five items. Constraints force the AI to make the hard edits that passive rewriting tends to skip.
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04Match the output format to the job board
LinkedIn, Indeed, and your ATS each render formatting differently. Ask the AI to use short paragraphs and bulleted lists rather than dense blocks of text. Job boards often truncate long postings above the fold, so front-load the most important information in the first 150 words of the rewritten output.
More example scenarios
#01 · Retail manager role written as a task list
Input
Store manager needed. Must open and close store. Handle cash. Manage employees. Deal with customers. Make sure store is clean. Do inventory. Fix problems. Work weekends. 3 years experience required. High school diploma.
Expected output
Store Manager opening for a customer-focused leader ready to own daily operations. You'll lead a team of 8-12 associates, manage inventory and cash handling, and maintain a store environment that keeps customers coming back. Weekends required. 3+ years of retail supervisory experience preferred. No degree requirement.
#02 · Software engineering JD with inflated requirements
Input
We are looking for a Senior Software Engineer with 10+ years of experience in Python, React, AWS, Kubernetes, GraphQL, machine learning, and mobile development. Must have led teams of 50+. PhD preferred. Must be a self-starter who thrives in fast-paced environments and wears many hats.
Expected output
Senior Software Engineer with strong Python and AWS experience to join a small, high-ownership backend team. You'll design and ship features independently, contribute to architecture decisions, and mentor junior engineers. Prior team lead experience is a plus, not a requirement. We care more about what you've built than where you went to school.
#03 · Healthcare role with exclusionary language
Input
We need a young, energetic nurse who can keep up with a busy ER. Must be able to handle stress without complaining. Looking for someone who fits our culture and can hit the ground running. No hand-holding here.
Expected output
Emergency Department Registered Nurse for a high-volume Level II Trauma Center. You'll triage and treat a wide range of acute cases, collaborate with a multidisciplinary care team, and help maintain quality standards under pressure. We offer structured onboarding and expect clear communication. Active RN license and BLS certification required. ER experience preferred.
#04 · Marketing coordinator role copied from a competitor
Input
The Marketing Coordinator will support all marketing initiatives across digital and traditional channels. Responsibilities include but are not limited to content creation, social media management, email marketing, event coordination, and reporting. Must have excellent communication skills and attention to detail. Bachelor's degree in Marketing or related field required.
Expected output
Marketing Coordinator to own day-to-day execution across our email, social, and event programs. You'll write and schedule content, pull weekly performance reports, and help coordinate two or three company events per year. Strong writing skills and comfort with tools like Mailchimp or HubSpot matter more to us than a specific degree.
#05 · Finance role with excessive jargon and internal acronyms
Input
FP&A Analyst needed to support BU leaders with MBR prep, QBR decks, LE cycles, and ad hoc analysis. Must be comfortable in a COE structure and work cross-functionally with HRBP and GTM finance teams. Experience with Adaptive Insights or Anaplan required. Strong Excel. CPA a plus.
Expected output
FP&A Analyst to support monthly and quarterly business reviews, forecasting cycles, and ad hoc financial analysis for multiple business units. You'll work closely with HR and go-to-market finance teams, build models in Excel, and use Adaptive Insights or Anaplan for planning. CPA is a plus but not required. This role is part of a centralized finance team with direct access to senior business leaders.
Common mistakes to avoid
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Rewriting without checking accuracy
AI rewrites optimize for readability and structure, which sometimes means condensing or rephrasing specifics in ways that change meaning. A salary range, a required certification, or a reporting structure can get lost or altered in rewriting. Always review the output against the source before publishing.
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Using a generic rewrite prompt
Asking an AI to 'improve this job description' produces generic improvements: slightly cleaner sentences, a different opening line, minimal structural change. Specific instructions about tone, candidate level, required format, and language to remove produce outputs that are actually different and better.
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Ignoring bias that the AI adds
AI models trained on existing job postings can reproduce patterns from those postings, including masculine-coded language, implicit age or culture preferences, and degree inflation. Running an AI rewrite does not guarantee an inclusive output. Use a tool like Textio or a manual bias checklist as a second pass.
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Posting the first output without iteration
The first AI output is a draft, not a final product. It almost always benefits from a second pass with specific feedback: 'shorten the responsibilities section,' 'make the tone less formal,' 'remove the culture paragraph.' Treating AI as a one-shot solution leaves quality on the table.
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Standardizing tone across roles that need different voices
A single rewrite prompt applied to every job description in a company will produce consistent but sometimes wrong results. A warehouse operations role and a creative director role should not sound identical. Build role-level or department-level prompt variants to preserve appropriate tone differences.
Related queries
Frequently asked questions
What is the best AI tool to rewrite job descriptions?
There is no single best tool because the right choice depends on volume, ATS integration, and how much customization you need. ChatGPT, Claude, and Gemini all handle job description rewriting well with the right prompt. Purpose-built HR tools like Textio or Ongig add bias detection on top of rewriting. For most teams, a well-structured prompt in a general-purpose AI is faster and cheaper than a specialized tool.
Can AI remove biased language from job descriptions?
AI can reduce common patterns of biased language, such as masculine-coded words, unnecessary degree requirements, and age-suggestive phrases, if you explicitly instruct it to. It will not catch every bias automatically. Effective prompts specify what categories of language to audit and remove, and a human review of the output is still recommended before publishing.
How do I prompt an AI to rewrite a job description?
Paste the full original job description into your prompt and add specific instructions: the target candidate experience level, the tone you want, a list of language or requirements to remove, and the desired output format. The more specific your constraints, the more usable the output. Vague prompts like 'make this better' produce minimal changes.
Will AI-rewritten job descriptions rank better on Indeed or LinkedIn?
They can, if the rewrite improves keyword clarity and removes walls of text that job board algorithms deprioritize. AI tends to produce cleaner structure and more direct language, both of which help with readability scoring. But job board ranking also depends on recency, sponsorship, and role-specific demand factors that rewriting alone cannot change.
How long does it take to rewrite a job description with AI?
A single rewrite from prompt to reviewed output takes about five to ten minutes. Most of that time is reviewing and editing the output, not generating it. At scale, rewriting a library of 50 job descriptions with a consistent prompt and a review workflow typically takes one to two days for a single person, compared to weeks of manual editing.
Should I use AI to rewrite job descriptions or start from scratch?
Rewriting is faster and lower risk when the role is well-defined and you have existing material to work from. Starting from scratch makes more sense when the role has changed significantly, the original description was fundamentally wrong about scope, or you have no existing documentation. In practice, even a bad existing description gives the AI enough anchor points to produce a better result than a blank prompt.