AI Documentation Engineer
Be | Shaping the Future Poland
⚲ Warszawa
Do uzgodnienia
Wymagania
- AI
- SDLC
- Analytics
- Git
- Jira
Opis stanowiska
Informacje o ofercie pracy
Be | Shaping the Future Poland has a proven position of being a reliable partner for financial services organisations to analyse complex requirements, find solutions and implement them in their entirety, regardless of their complexity. Since the foundation of Be Poland in 2013, we have been continually expanding and customising our spectrum of services. Today, we are privileged to have in our team the best individuals in each sector we operate within the financial services industry.
AI Documentation Engineer
About the Role
We are looking for an AI Documentation Engineer to support knowledge transfer initiatives by analyzing applications, reviewing source code, and creating high-quality technical and functional documentation. This is a hands-on role for a technically curious professional who enjoys understanding how systems work and leveraging AI tools to accelerate documentation and knowledge management activities.
Responsibilities
• Analyze applications, codebases, and technical artifacts to extract and document key knowledge
• Create and maintain technical and functional documentation, user guides, process flows, and knowledge base content
• Support and facilitate knowledge transfer activities across teams and stakeholders
• Review source code and system documentation to ensure accuracy and completeness
• Collaborate with developers, architects, business analysts, and product teams to gather and validate information
• Use AI tools to support code analysis, documentation generation, content review, and knowledge discovery
• Ensure documentation follows agreed standards and remains up to date throughout the project lifecycle
• Drive internal AI enablement initiatives by evaluating AI tools, sharing best practices, and supporting teams in adopting AI-powered solutions to improve productivity and knowledge management
• Act as an AI advocate within the organization, helping define and implement best practices for the use of Generative AI in software development, documentation, and knowledge transfer activities
Required Skills & Experience
• Strong technical background with the ability to read, understand, and review source code
• Proven experience using AI tools (preferably Google Gemini) for code analysis, documentation, or knowledge management activities
• Good understanding of Software Development Life Cycle (SDLC) processes and software delivery practices
• Previous experience as a Software Engineer, Technical Analyst, DevOps Engineer, QA Engineer, or Solution Architect
• Experience working with Git, Jira, Confluence, and modern development toolchains
• Experience creating technical documentation for software applications and systems
• Ability to translate complex technical concepts into clear and structured documentation
• Strong communication and stakeholder management skills
• Excellent written and spoken Polish and English
Nice to Have
• Experience with Llama-based models or other Generative AI / LLM platforms
• Familiarity with Agile/Scrum environments
Ideal Candidate
A technically minded "builder" with a strong understanding of software development, who enjoys exploring code, extracting knowledge from complex systems, and using AI to improve the speed and quality of documentation and knowledge transfer processes.
Why join
• Opportunity to shape end-to-end solutions in a highly regulated environment
• Competitive remuneration on B2B contract
• Private healthcare (Medicover)
• Multisport card
• Access to Mindgram – mental health & well-being platform
• Free gym at Q22
• Personal development – internal online / onsite BeTalks
• Referral Bonus Program
• International environment
Be | Shaping the Future Poland has a proven position of being a reliable partner for financial services organisations to analyse complex requirements, find solutions and implement them in their entirety, regardless of their complexity. Since the foundation of Be Poland in 2013, we have been continually expanding and customising our spectrum of services. Today, we are privileged to have in our team the best individuals in each sector we operate within the financial services industry.
AI Documentation Engineer
About the Role
We are looking for an AI Documentation Engineer to support knowledge transfer initiatives by analyzing applications, reviewing source code, and creating high-quality technical and functional documentation. This is a hands-on role for a technically curious professional who enjoys understanding how systems work and leveraging AI tools to accelerate documentation and knowledge management activities.
Responsibilities
• Analyze applications, codebases, and technical artifacts to extract and document key knowledge
• Create and maintain technical and functional documentation, user guides, process flows, and knowledge base content
• Support and facilitate knowledge transfer activities across teams and stakeholders
• Review source code and system documentation to ensure accuracy and completeness
• Collaborate with developers, architects, business analysts, and product teams to gather and validate information
• Use AI tools to support code analysis, documentation generation, content review, and knowledge discovery
• Ensure documentation follows agreed standards and remains up to date throughout the project lifecycle
• Drive internal AI enablement initiatives by evaluating AI tools, sharing best practices, and supporting teams in adopting AI-powered solutions to improve productivity and knowledge management
• Act as an AI advocate within the organization, helping define and implement best practices for the use of Generative AI in software development, documentation, and knowledge transfer activities
Required Skills & Experience
• Strong technical background with the ability to read, understand, and review source code
• Proven experience using AI tools (preferably Google Gemini) for code analysis, documentation, or knowledge management activities
• Good understanding of Software Development Life Cycle (SDLC) processes and software delivery practices
• Previous experience as a Software Engineer, Technical Analyst, DevOps Engineer, QA Engineer, or Solution Architect
• Experience working with Git, Jira, Confluence, and modern development toolchains
• Experience creating technical documentation for software applications and systems
• Ability to translate complex technical concepts into clear and structured documentation
• Strong communication and stakeholder management skills
• Excellent written and spoken Polish and English
Nice to Have
• Experience with Llama-based models or other Generative AI / LLM platforms
• Familiarity with Agile/Scrum environments
Ideal Candidate
A technically minded "builder" with a strong understanding of software development, who enjoys exploring code, extracting knowledge from complex systems, and using AI to improve the speed and quality of documentation and knowledge transfer processes.
Why join
• Opportunity to shape end-to-end solutions in a highly regulated environment
• Competitive remuneration on B2B contract
• Private healthcare (Medicover)
• Multisport card
• Access to Mindgram – mental health & well-being platform
• Free gym at Q22
• Personal development – internal online / onsite BeTalks
• Referral Bonus Program
• International environment
🔍 Dekoder Ogłoszenia
🔴
leveraging AI tools to accelerate documentation and knowledge management activities
Oczekuje się, że będziesz używać narzędzi AI do usprawnienia swojej pracy, co może oznaczać, że firma nie inwestuje w droższe rozwiązania lub nie ma wystarczających zasobów ludzkich.
🟡
This is a hands-on role for a technically curious professional
Oznacza to, że będziesz musiał/a aktywnie pracować z kodem i systemami, a nie tylko tworzyć dokumentację na podstawie dostarczonych informacji.
🔴
support knowledge transfer initiatives
Może to oznaczać, że firma ma problemy z utrzymaniem wiedzy w organizacji lub że jest to nowa inicjatywa, która może nie mieć ugruntowanych procesów.
🟡
Analyze applications, codebases, and technical artifacts to extract and document key knowledge
Będziesz musiał/a samodzielnie analizować kod i systemy, co wymaga głębokiego zrozumienia technicznego i może być czasochłonne.