Job VC

Domain:
Banking & Finance
Experience:
5+ years
Project Duration:
August, 2026 – November, 2026(to be extended)
Format:
Hybrid
Location:
Kraków, Poland
About the Project
We are looking for a
Python Developer with AI expertise
to join a team of engineers building strategic AI and machine learning solutions that are transforming the Credit and Lending industry.
Working in a dynamic, innovative, and well-established environment, the selected specialist will collaborate closely with business stakeholders to deliver impactful, production-grade AI solutions.
This role is a great fit for an engineer who enjoys leading technical initiatives and applying modern AI technologies to solve complex business challenges.
Responsibilities
Design, develop, and maintain clean, scalable, and well-tested software solutions
Lead the architecture and implementation of AI/ML systems, ensuring reliability, scalability, and alignment with long-term platform goals
Take ownership of major AI initiatives from solution design through deployment and operationalization
Support and mentor other engineers, promoting engineering excellence, collaboration, and continuous learning
Help define and promote engineering standards, AI governance practices, and responsible AI principles across the organization
Contribute to the technical roadmap by researching, evaluating, and prototyping emerging technologies, including advanced RAG approaches, LLM optimization techniques, and agent-based systems
Collaborate with cross-functional stakeholders to translate business needs into effective technical solutions and clearly communicate complex concepts
Build advanced AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and large-scale financial datasets
Requirements
5+ years of strong commercial experience with Python
At least 6–12 months of hands-on experience within the broader AI/ML ecosystem
Practical experience with relational databases such as PostgreSQL, vector databases, key-value stores such as Redis, and Pub/Sub messaging systems
Deep understanding of microservices architecture, API design, observability, and concurrent/distributed systems
Ability to make and drive architectural decisions in complex technical environments
Strong knowledge of modern LLM architectures and hands-on experience adapting and fine-tuning models for domain-specific use cases
Practical expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and related generative AI techniques
Nice to Have
Exposure to Java, particularly for integration and middleware-related tasks
Tech Stack
Python
AI / Machine Learning
PostgreSQL
Redis
Microservices
APIs
LLMs
RAG
Location
Hybrid from Kraków, Poland
Important: the client requires office visits in Kraków 8 days per month