AI Engineer for Corporate Lending
⚲ Warsaw
Do uzgodnienia
Wymagania
- Documentation
- Machine Learning (ML)
- System Design
- Proof of Concept (PoC)
- Use Cases
- Operations
- Artificial Intelligence (AI)
- Python
- Testing
- Cloud
Opis stanowiska
PROJECT INFORMATION:
• Industry: Banking
• Work model: Hybrid (1/week in Warsaw, Łódź or Gdańsk)
• Remuneration: up to 190 PLN/h netto + VAT (B2B)
Summary
The AI Engineer for Corporate Lending will design, build, and scale AI solutions to enhance banking operations, ensuring delivery from concept to production with a focus on responsible AI practices.
Main Responsibilities
• Develop and scale AI applications end-to-end
• Prototype and validate AI use cases; move from PoC to production
• Build Agentic and Generative AI solutions (LLMs, RAG, MCP, A2A)
• Integrate AI with vector databases, APIs, and enterprise systems
• Explore new AI tools and create PoCs
• Deploy and monitor solutions on cloud platforms (AWS, Azure, GCP)
• Ensure proper documentation, compliance, and risk management
• Promote ethical and responsible AI practices
• Mentor team members and share best practices around Artificial Intelligence
Key Requirements
• Master Degree in Computer Science, Engineering, Data Science, or equivalent
• 5+ years building and deploying Machine Learning/AI solutions in production
• Strong Python skills and scalable system development experience
• Hands-on with Agentic AI (e.g., LangGraph, CrewAI, AutoGen)
• Experience with Generative AI (LLMs, RAG, MCP)
• Strong AI/ML system design skills (model selection, deployment, monitoring)
• Cloud experience (AWS, Azure, or GCP)
• Proven track record from idea → PoC → scalable product
• Strong communication with both technical and business stakeholders
Nice to Have
• Experience with A2A protocols and multi-agent systems
• Knowledge of agent testing, monitoring, and reliability
• Understanding of AI safety, alignment, and ethics
• Familiarity with EU AI regulations
• Experience in regulated industries (e.g., banking, finance.
• Industry: Banking
• Work model: Hybrid (1/week in Warsaw, Łódź or Gdańsk)
• Remuneration: up to 190 PLN/h netto + VAT (B2B)
Summary
The AI Engineer for Corporate Lending will design, build, and scale AI solutions to enhance banking operations, ensuring delivery from concept to production with a focus on responsible AI practices.
Main Responsibilities
• Develop and scale AI applications end-to-end
• Prototype and validate AI use cases; move from PoC to production
• Build Agentic and Generative AI solutions (LLMs, RAG, MCP, A2A)
• Integrate AI with vector databases, APIs, and enterprise systems
• Explore new AI tools and create PoCs
• Deploy and monitor solutions on cloud platforms (AWS, Azure, GCP)
• Ensure proper documentation, compliance, and risk management
• Promote ethical and responsible AI practices
• Mentor team members and share best practices around Artificial Intelligence
Key Requirements
• Master Degree in Computer Science, Engineering, Data Science, or equivalent
• 5+ years building and deploying Machine Learning/AI solutions in production
• Strong Python skills and scalable system development experience
• Hands-on with Agentic AI (e.g., LangGraph, CrewAI, AutoGen)
• Experience with Generative AI (LLMs, RAG, MCP)
• Strong AI/ML system design skills (model selection, deployment, monitoring)
• Cloud experience (AWS, Azure, or GCP)
• Proven track record from idea → PoC → scalable product
• Strong communication with both technical and business stakeholders
Nice to Have
• Experience with A2A protocols and multi-agent systems
• Knowledge of agent testing, monitoring, and reliability
• Understanding of AI safety, alignment, and ethics
• Familiarity with EU AI regulations
• Experience in regulated industries (e.g., banking, finance.
🔍 Dekoder Ogłoszenia
🟡
ensure delivery from concept to production
Oznacza to, że będziesz odpowiedzialny za cały cykl życia projektu AI, od początkowego pomysłu po wdrożenie i utrzymanie w środowisku produkcyjnym.
🟡
move from PoC to production
Wymaga to nie tylko umiejętności tworzenia prototypów, ale także doświadczenia w skalowaniu i wdrażaniu rozwiązań AI na dużą skalę.
🟡
Agentic and Generative AI solutions (LLMs, RAG, MCP, A2A)
Wymaga to bardzo specyficznej i aktualnej wiedzy z zakresu zaawansowanych technik AI, które są wciąż w fazie rozwoju.
🟡
Proven track record from idea → PoC → scalable product
Oczekuje się udokumentowanego doświadczenia w przeprowadzaniu projektów AI przez wszystkie etapy rozwoju, od koncepcji do gotowego produktu.
🟡
Strong communication with both technical and business
Oznacza to konieczność skutecznego tłumaczenia złożonych zagadnień technicznych na język zrozumiały dla osób nietechnicznych i odwrotnie.