PwCPosted 6mo ago

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

AI Engineer (Python Software Engineer + GenAI) | Digital&IPA (freelance) at PwC scores 88 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.

WarszawaFull time

AI in this role

langchainlanggraphsemantic-kernelpineconeweaviatepgvectormilvus

prompt-engineering

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 currently looking for candidates for the position of:

AI Engineer (Python Software Engineer + GenAI)

Your future role:

Design and implement modern AI-powered applications,
Contribute to high-performance solution architecture,
Create clear, maintainable project documentation,
Participate in software deployments and collaborate with users to resolve issues.

Apply if you have:

Degree in computer science or a related field,
Advanced Python and SDLC experience (3+ 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 (LangChain, LangGraph, Semantic Kernel, Crew AI),
Experience using vector databases (Pinecone, PGVector, Weaviate, FAISS, Milvus) in Gen AI solutions.
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 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).

By joining us you gain:

Work on diverse and intriguing projects, avoiding routine and promoting a consulting mindset,
Benefit from a hybrid work model, flexible hours, and the possibility of occasional remote work,
Clear career progression path that values a consulting-oriented approach,
Opportunities to engage in international projects and occasional business trips.

Recruitment process:

Submit your resume,
Have a short phone conversation with our Recruiter,
Let's get to know each other better in the 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 EngineeringLangChainLangGraphSemantic KernelPineconeWeaviatepgvectorMilvus

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through how you've used LangChain in your day-to-day work.
What are the limits of LangGraph that you've run into, and how did you work around them?
What's a project where you used Semantic Kernel hands-on?
Walk me through how you've used Pinecone in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, LangChain, LangGraph, Semantic Kernel, and Pinecone. 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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