Level

PwCPosted 6mo ago

AI Engineering Lead (Python Software Engineer + GenAI) | Digital&IPA (freelance)

AI Engineering Lead (Python Software Engineer + GenAI) | Digital&IPA (freelance) at PwC scores 85 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

WarszawaleadFull time

AI in this role

langchainlanggraphsemantic-kernel
prompt-engineeringrag

Job Description & Summary

The Digital&IPA team at PwC Poland consists of nearly 500 people. 
We are responsible for IT projects for both Polish and international clients. We carry out a wide range of tasks—from designing, building, and implementing solutions, through developing functional specifications, analyzing data in source systems, to defining business requirements, supporting testing, and creating mobile applications. 

Within the department, we provide IT consulting services, mainly for financial sector institutions in Poland and abroad. 


We are looking for:

AI Engineering Lead (Python Software Engineer + GenAI) 


Your future role:

  • Design and implement modern applications, 
  • Contribute to high-performance solution architecture, 
  • Create clear, maintainable project documentation, 
  • Participate in software deployments and collaborate with users to resolve issues, 
  • Present solutions and their implementations to clients, 
  • Approach solution creation creatively within the project cycle, 
  • Support junior developers in the team. 


Apply if you have:

  • Degree in computer science or a related field, 
  • Approximately 2 years of experience in similar role, 
  • Advanced Python and SDLC experience (6+ years), 
  • Familiar with AWS, Azure, or GCP cloud platforms, 
  • Experience with SQL/NoSQL databases, 
  • Deep understanding of LLMs: transformers, embeddings, tokenization, and API integrations, 
  • Proficiency in prompt engineering and orchestration tools (e.g. LangChain, LangGraph, Semantic Kernel, Crew AI), 
  • Expertise in agentic AI design patterns, 
  • Experience in improvement and evaluation of RAG systems. 
  • Familiarity with emerging AI trends and standards, 
  • Strong Python software engineering skills with coding standards and best practices, 
  • Experience with code reviews, debugging, testing, and version control, 
  • Familiarity with CI/CD pipelines and automation tools (GitHub, Azure DevOps, Docker, Kubernetes), 
  • Experience containerizing AI solutions and deploying across enterprise environments, 
  • Ability to integrate logging, monitoring, and alerting systems, 
  • Strong understanding of scaling of web applications, experience with asynchronous processing, and multithreading. 
  • Strong problem-solving using systems thinking and first principles, 
  • Ability to design scalable, resilient, and secure end-to-end systems, 
  • Expertise in API design, event-driven architectures, microservices, serverless, and containers, 
  • Familiarity with enterprise integration patterns (messaging, pub/sub, event sourcing), 
  • Knowledge of IAM, RBAC, secrets management, and network security (VPCs, firewalls), 
  • Experience in developing web applications and systems processing large data sets. 

Our recruitment process: 

  • After positive CV verification our Recruiter will contact you by Phone for a short screening call,
  • Let's get to know each other better during the recruitment interview.

With any queries please contact pl_ITrecruitment@pwc.com with job title in the subject.

Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

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Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagLangChainLangGraphSemantic Kernel

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used LangGraph hands-on?
  5. Walk me through how you've used Semantic Kernel in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, Rag, LangChain, LangGraph, and Semantic Kernel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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