PwC Polska

ai engineer for financial institutions

In short

This role designs and implements AI/ML applications, including LLM-based Gen AI solutions, for a PwC Poland team of ~500 people serving financial sector clients in Poland and abroad. It requires strong Python engineering skills, cloud platform experience (AWS/Azure/GCP), NLP and LLM expertise (LangChain, vector databases, transformers), and CI/CD and containerization skills. The engagement is freelance, with flexible hours and occasional business trips, based in Warsaw in a hybrid format.

About the Team
The Digital&IPA team at PwC Poland consists of almost 500 people and delivers IT projects for Polish and international clients. It provides IT consulting services, mainly for financial sector institutions in Poland and abroad.
Responsibilities
•Design and implement modern applications
•Participate in creating high-performance solution architectures
•Create project documentation
•Participate in software deployments and collaborate with users to resolve ongoing issues
Requirements
•Advanced Python programming and SDLC experience
•Familiarity with AWS, Azure, or GCP cloud platforms
•Strong foundation in statistics, linear algebra, and calculus
•Skills in ETL, data pipelines, modeling, and working with SQL/NoSQL databases
•Proficiency in scikit-learn, PyTorch, TensorFlow, and Hugging Face
•Experience in NLP/NLU, including text processing, embeddings, NER, and semantic analysis
•Hands-on experience with neural networks for NLP, computer vision, and other applications
•Deep understanding of LLMs, including transformers, embeddings, tokenization, and API integrations
•Proficiency in prompt engineering and orchestration tools such as LangChain, LangGraph, Semantic Kernel, and Crew AI
•Experience with vector databases such as Pinecone, Weaviate, FAISS, and Milvus in Gen AI solutions
•Strong Python software engineering skills, including coding standards and best practices
•Experience in code reviews, debugging, testing, and version control
•Familiarity with CI/CD pipelines and automation tools such as GitHub, Azure DevOps, Docker, and Kubernetes
•Experience containerizing AI solutions and deploying them across enterprise environments
•Skills in integrating logging, monitoring, and alerting systems
Nice to Have
•Systems thinking and first-principles problem-solving
•Designing scalable, resilient, and secure end-to-end systems
•API design, event-driven architectures, microservices, serverless, containers, enterprise integration patterns
•IAM, RBAC, secrets management, and network security
Conditions
•Freelance engagement
•Flexible hours
•Occasional business trips

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