Full Stack Engineer

Discription Prompt ;- Rewrite the following job description into a **LinkedIn-optimized Job Description** designed specifically for **AI-Assisted Applicant Targeting** and maximum relevant applicant reach.

### Goals

* Make the JD easy for LinkedIn's AI to understand and match with qualified candidates.

* Clearly identify **must-have requirements** versus **preferred qualifications**.

* Preserve the original job's actual responsibilities, qualifications, compensation, location, work arrangement, and employer details.

* Do **not invent** requirements, benefits, certifications, experience, responsibilities, or company information.

* Do not unnecessarily narrow the candidate pool.

* Use natural keywords that qualified candidates are likely to search for.

* Avoid keyword stuffing.

### Structure

Use this structure:

# [JOB TITLE]

## About the Role

Write a clear, attractive 1–2 paragraph overview explaining the role, its purpose, and who would be successful in it.

## Key Responsibilities

Convert the original duties into clear, concise bullet points. Keep all important responsibilities but remove unnecessary repetition.

## Required Qualifications

Include only genuine **must-have** qualifications explicitly supported by the original JD.

## Preferred Qualifications

Move qualifications described as preferred, pluses, or nice-to-haves into this section. Do not turn preferred qualifications into mandatory requirements.

## Skills & Competencies

Clearly identify important skills such as:

* Customer service

* Communication

* Problem-solving

* Technical skills

* Sales/cross-selling

* Relationship building

* Organization

* Adaptability

Only include skills supported by the original JD.

## Education & Experience

Clearly separate education requirements from experience requirements.

## Work Arrangement & Schedule

Clearly state:

* Remote / Hybrid / Onsite

* Full-time / Part-time

* Expected weekly hours

* Required schedule flexibility

* Weekend requirements, if applicable

If the original JD contains contradictory location/work-arrangement language, flag it and use the clearly stated job location as the primary source rather than silently inventing a correction.

## Compensation & Benefits

Clearly present the compensation exactly as provided. Do not convert hourly pay into an annual salary unless explicitly requested.

## Compliance / Additional Information

Keep important equal-opportunity, compliance, physical requirements, or other legally relevant information when provided.

### LinkedIn AI Targeting Rules

1. Make **must-have requirements unmistakably clear**.

2. Keep preferred qualifications separate from required qualifications.

3. Use standard job-related terminology rather than unusual wording.

4. Include relevant job title synonyms naturally where appropriate.

5. Make skills and experience explicit instead of hiding them inside long paragraphs.

6. Do not add unnecessary degree requirements.

7. Do not add years-of-experience requirements unless the original JD specifies them.

8. Do not change Remote to Onsite or Onsite to Remote.

9. Do not change salary, benefits, schedule, or employment type.

10. Do not add certifications or technical skills that are not in the source JD.

11. Optimize for **qualified applicant volume**, not an unnecessarily restrictive candidate profile.

12. Keep the language professional, natural, and human—not robotic or keyword-stuffed.

### Important Quality Check

Before giving the final JD, internally verify:

* Are all mandatory qualifications genuinely required?

* Are preferred qualifications clearly labeled?

* Are important skills explicitly stated?

* Is the work arrangement consistent?

* Is compensation presented correctly?

* Did you preserve the original facts?

* Did you avoid inventing anything?

* Could LinkedIn AI easily identify the ideal candidate from this JD?

### Output

Return **only the finished LinkedIn-ready Job Description**.

Here is the raw job description:

PLEASE CONVERT JOB DESCRIPTION IN ENGLISH Job Description

Trust In SODA is looking for a flexible engineer to join a distributed engineering team building modern web and mobile-capable applications on a robust Angular/TypeScript stack. There is potential to introduce Kotlin/Spring Boot and cloud-native delivery practices where relevant.

The role involves on-site collaboration 2x per week in Schlieren with remote work otherwise, starting ASAP for a 3-month term with strong extension prospects. Hourly rate is around 100 CHF.

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