Junior AI Engineer

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?
Work format: Remote or in a comfortable office in Lviv — you choose.
Development: Personal development plan, mentoring, English and Polish language courses.
Stability: Official employment from day one, annual review of salary and career prospects.
Corporate culture: Events that unite the team and a space where everyone can be themselves.

Turn your curiosity for automation and AI into a technology career.

We are looking for self-driven professionals from Assurance who have demonstrated a passion for improving the way work gets done through Python, automation, data analytics, Copilot, or Generative AI. Whether you have built scripts, automated repetitive tasks, experimented with AI tools, or simply enjoy exploring new technologies, this role offers an opportunity to transform that passion into a full-time technology career.

As a Junior AI Engineer, you will learn how to design and develop scalable AI-powered solutions while combining your audit and business knowledge with modern engineering practices. Working alongside experienced AI engineers, you will gain hands-on experience with Python, Generative AI, cloud platforms, intelligent automation, and enterprise AI solutions.

This is a career opportunity for professionals who want to evolve from being consumers of technology into creators of technology, helping shape how AI is used across PwC and for our clients. While previous AI engineering experience is not required, a genuine interest in technology, continuous learning, and hands-on experimentation is essential.

Key Responsibilities
AI Solution Development:
Develop AI and automation solutions using Python.
Build and maintain integrations with LLM APIs and AI services.
Support implementation of RAG-based applications.
Assist in developing prompt engineering strategies and reusable AI components.
Participate in testing, debugging, and improving AI solutions.

Engineering Excellence:
Write clean, maintainable, and well-documented code.
Participate in code reviews and technical discussions.
Create and maintain REST APIs and backend services.
Support CI/CD pipelines and deployment activities.
Follow secure coding and software engineering best practices.

Data & AI Operations:
Prepare and process structured and unstructured data.
Assist with document processing, OCR, chunking, and embedding pipelines.
Work with SQL and vector databases.
Monitor AI solution performance and troubleshoot production issues.

Learning & Innovation:
Continuously learn emerging AI technologies and frameworks.
Contribute to internal proof-of-concepts and AI adoption initiatives.
Share knowledge with the broader AI engineering community.
Required Qualifications

Technical Skills:
1–3 years of experience in software development or automation.
Good Python programming skills.
Understanding of object-oriented programming and software engineering principles.
Experience working with APIs and JSON data structures.
Basic knowledge of Git and version control workflows.
Understanding of relational databases and SQL.
Familiariaty with cloud concepts (Azure preferred).
Interest in Artificial Intelligence and Generative AI technologies.

AI Knowledge:
Experience using AI IDEs (Cursor/Copilot/Claude/and so on) during daily work.
Basic understanding of: Large Language Models (LLMs), Prompt Engineering, Embeddings, RAG concepts, Vector search fundamentals.

Nice-to-Have Skills
LangChain, LangGraph, CrewAI, Semantic Kernel
Azure AI services
Azure AI Search
Azure Document Intelligence
Azure AI Foundry
FastAPI or Flask
Docker containers
Kubernetes basics
Vector databases (Qdrant, pg_vector, Azure AI Search)
Async Python programming
Event-driven architectures and messaging systems
Pandas and data processing libraries
GitHub Actions or Azure DevOps pipelines

Policy statements:
www.pwc.com/ua/uk/about/privacy.html