AI Engineer
⚲ Kraków
31 000–34 000 zł netto (+ VAT) / mies.
Wymagania
- PostgreSQL
- FastAPI
- LangChain
- Java
- Redis
- Jenkins
- Azure DevOps
- Google Cloud Platform
- Docker
Opis stanowiska
Nasze wymagania:
Python (3+ years of hands-on experience)
Practical experience with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)
Knowledge of Agentic architectures
Background in machine learning, deep learning, and NLP
Vector Databases and SQL Databases (PostgreSQL)
FastAPI, LangChain
Knowledge of Microservices architecture, API design, Observability, and Concurrency models
Azure and/or GCP – cloud development, deployment, and scaling
Practical experience with TDD and BDD
Strong English communication skills – ability to present technical solutions to business stakeholders
Mile widziane:
Java (regular use) and Spring framework
Redis (KV stores)
Kubernetes and CI/CD tooling (Jenkins, Azure DevOps, GCP Cloud Build)
Container-based development (Docker, Data containers)
O projekcie:
Join our client's team, where you'll play a key role in shaping AI-powered solutions for Credit & Lending use cases. Your contribution will help deliver high-impact solutions in financial services – intelligent systems built on LLMs and RAG that bring real insight to complex financial data.
You'll step in as an AI Engineer, working closely with engineers, product managers, and business experts to design, implement, and deploy AI solutions end-to-end. Your role will be central to building reliable, production-grade systems that leverage the latest in LLM and RAG technology – not just execution.
Sounds like your kind of challenge?
Zakres obowiązków:
Design, test, and optimize prompts for Large Language Models (LLMs) to deliver high-quality, reliable outputs for Credit & Lending use cases.
Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector database solutions to unlock insights from complex financial data.
Participate in the full solution lifecycle – from problem discovery and prototyping through to design, implementation, and production deployment.
Apply AI best practices to ensure fairness, transparency, and accountability across all models and applications.
Co-author solution designs and architecture; maintain and evolve products in production.
Utilize cloud platforms (Azure, GCP) for the development, deployment, and scaling of AI models.
Write and maintain high-quality, testable, and reusable code.
Collaborate with a cross-functional team to align technical efforts with strategic goals
Note: Detailed project information will be shared during the recruitment process.
Oferujemy:
Flexible cooperation model
Hybrid work setup – 6x/month from the office in Kraków
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
Python (3+ years of hands-on experience)
Practical experience with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)
Knowledge of Agentic architectures
Background in machine learning, deep learning, and NLP
Vector Databases and SQL Databases (PostgreSQL)
FastAPI, LangChain
Knowledge of Microservices architecture, API design, Observability, and Concurrency models
Azure and/or GCP – cloud development, deployment, and scaling
Practical experience with TDD and BDD
Strong English communication skills – ability to present technical solutions to business stakeholders
Mile widziane:
Java (regular use) and Spring framework
Redis (KV stores)
Kubernetes and CI/CD tooling (Jenkins, Azure DevOps, GCP Cloud Build)
Container-based development (Docker, Data containers)
O projekcie:
Join our client's team, where you'll play a key role in shaping AI-powered solutions for Credit & Lending use cases. Your contribution will help deliver high-impact solutions in financial services – intelligent systems built on LLMs and RAG that bring real insight to complex financial data.
You'll step in as an AI Engineer, working closely with engineers, product managers, and business experts to design, implement, and deploy AI solutions end-to-end. Your role will be central to building reliable, production-grade systems that leverage the latest in LLM and RAG technology – not just execution.
Sounds like your kind of challenge?
Zakres obowiązków:
Design, test, and optimize prompts for Large Language Models (LLMs) to deliver high-quality, reliable outputs for Credit & Lending use cases.
Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector database solutions to unlock insights from complex financial data.
Participate in the full solution lifecycle – from problem discovery and prototyping through to design, implementation, and production deployment.
Apply AI best practices to ensure fairness, transparency, and accountability across all models and applications.
Co-author solution designs and architecture; maintain and evolve products in production.
Utilize cloud platforms (Azure, GCP) for the development, deployment, and scaling of AI models.
Write and maintain high-quality, testable, and reusable code.
Collaborate with a cross-functional team to align technical efforts with strategic goals
Note: Detailed project information will be shared during the recruitment process.
Oferujemy:
Flexible cooperation model
Hybrid work setup – 6x/month from the office in Kraków
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
🔍 Dekoder Ogłoszenia
🔴
Practical experience with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)
Wskazuje na potrzebę praktycznej znajomości najnowszych, szybko ewoluujących technologii, które mogą wymagać ciągłego uczenia się.
🔴
Knowledge of Agentic architectures
Wymaga znajomości zaawansowanych koncepcji w dziedzinie AI, które mogą być jeszcze w fazie rozwoju i nie mieć ugruntowanych standardów.
🔴
Knowledge of Microservices architecture, API design, Observability, and Concurrency models
Wymaga szerokiej wiedzy z zakresu architektury oprogramowania, nie tylko z obszaru AI, co może oznaczać bardziej złożone zadania.
🔴
Azure and/or GCP – cloud development, deployment, and scaling
Wymaga praktycznego doświadczenia w pracy z konkretnymi platformami chmurowymi, a nie tylko ogólnej wiedzy.
🔴
Strong English communication skills – ability to present technical solutions to business stakeholders
Oprócz komunikacji technicznej, wymaga umiejętności prezentowania złożonych zagadnień biznesowi, co może być stresujące i czasochłonne.