T-Hub - AI Enginner
⚲ Warszawa, Mokotów
Do uzgodnienia
Opis stanowiska
Nasze wymagania:
Backend & Software Development
Strong experience with Kotlin and Java
Proficiency in Spring Boot framework
Experience with JavaScript (TypeScript)
Solid knowledge of relational databases, particularly PostgreSQL
Familiarity with GitLab and Jira
AI & Data Engineering
Experience in training, integrating, and deploying AI models within software solutions
Proficiency in Python and data analysis libraries such as Pandas
Experience working with Jupyter Notebooks and Matplotlib
Hands-on experience with LangChain and/or LangGraph
Practical knowledge of OpenAI APIs
Understanding of Prompt Engineering principles
Mile widziane:
Frontend experience with Vue.js
Familiarity with Open Telekom Cloud
Experience with Kubernetes and Kafka
Zakres obowiązków:
Develop and enhance backend services using Kotlin, Java, and Spring Boot
Design and implement AI-supported functionalities within the PFAU application
Integrate AI models and external AI APIs into enterprise software solutions
Work with Python-based AI and data processing frameworks
Collaborate with existing agile development teams in a SAFe environment
Support the build-up of AI know-how and best practices within the nearshore team
Ensure maintainable, scalable, and high-quality software architecture
Coordinate development activities across parallel teams working on shared components
Participate in CI/CD and DevOps-related activities where required
Oferujemy:
Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation.
You'll have the opportunity to work at the forefront of modern technologies, from 5G to IoT and AI, shaping the future of connectivity.
Backend & Software Development
Strong experience with Kotlin and Java
Proficiency in Spring Boot framework
Experience with JavaScript (TypeScript)
Solid knowledge of relational databases, particularly PostgreSQL
Familiarity with GitLab and Jira
AI & Data Engineering
Experience in training, integrating, and deploying AI models within software solutions
Proficiency in Python and data analysis libraries such as Pandas
Experience working with Jupyter Notebooks and Matplotlib
Hands-on experience with LangChain and/or LangGraph
Practical knowledge of OpenAI APIs
Understanding of Prompt Engineering principles
Mile widziane:
Frontend experience with Vue.js
Familiarity with Open Telekom Cloud
Experience with Kubernetes and Kafka
Zakres obowiązków:
Develop and enhance backend services using Kotlin, Java, and Spring Boot
Design and implement AI-supported functionalities within the PFAU application
Integrate AI models and external AI APIs into enterprise software solutions
Work with Python-based AI and data processing frameworks
Collaborate with existing agile development teams in a SAFe environment
Support the build-up of AI know-how and best practices within the nearshore team
Ensure maintainable, scalable, and high-quality software architecture
Coordinate development activities across parallel teams working on shared components
Participate in CI/CD and DevOps-related activities where required
Oferujemy:
Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation.
You'll have the opportunity to work at the forefront of modern technologies, from 5G to IoT and AI, shaping the future of connectivity.
🔍 Dekoder Ogłoszenia
🟡
unique and highly rewarding
Może oznaczać zarówno bardzo ciekawe projekty, jak i po prostu standardowe benefity, które niekoniecznie wyróżniają się na tle konkurencji.
🔴
Support the build-up of AI know-how and best practices within the nearshore team
Może oznaczać, że będziesz musiał poświęcić znaczną część czasu na edukowanie innych zamiast na bezpośrednie zadania inżynierskie.
🔴
Collaborate with existing agile development teams in a SAFe environment
Praca w dużym, zorganizowanym środowisku Agile, które może być biurokratyczne i wymagać dużej ilości spotkań.
🔴
Coordinate development activities across parallel teams working on shared components
Może oznaczać odpowiedzialność za zarządzanie zależnościami i komunikację między wieloma zespołami, co bywa czasochłonne i stresujące.
🔴
Participate in CI/CD and DevOps-related activities where required
Zakres obowiązków DevOps może być większy niż sugeruje samo sformułowanie, jeśli nie ma dedykowanego zespołu DevOps.