Senior AI Engineer

Job Description & Summary

About Application Development

We are a team dedicated to delivering world‑class services across data analytics, artificial intelligence, machine learning, and data engineering. We combine deep technical expertise with strong industry knowledge to help organizations make informed decisions and unlock the full value of their data through advanced AI and ML solutions. Our work focuses on creating measurable impact for clients while applying modern methodologies, robust engineering practices, and proven analytical frameworks.  

Our team values—EXPERTISE, RELIABILITY & RESPONSIBILITY, and TRUST—are central to everything we do, ensuring we deliver high-quality work with integrity and collaboration. 

About your manager

Marek Novotný is a Partner within the Advisory services of PwC. Working extensively in the US and European geographies, he is recognized as a strong executive within the technology areas. He is focused on quality while providing a reliable and trustworthy services in areas of custom software development covering digital products and services development, cloud transformations and data related services (analytics, engineering and science).

Job description & summary

We’re looking for a highly motivated Senior AI Engineer to join our Data Analytics & Artificial Intelligence team. The team combines deep technical expertise with strong industry understanding to help organizations make informed, data‑driven decisions and fully leverage advanced AI and machine‑learning capabilities. Your work will support impactful client solutions while contributing to the development of next‑generation AI assets and applications. You’ll partner with engineers, data specialists, and domain experts to design, build, and optimize AI systems using modern LLM technologies and cloud‑native platforms. 

Responsibilities

• Design and implement end‑to‑end AI pipelines, covering data ingestion, transformation, modeling, and production deployment. 

Build and refine LLM‑based applications (e.g., retrieval workflows, agentic systems, autonomous tools).

• Develop reusable AI components, APIs, and automation solutions for internal and client-facing use cases. 

• Create robust prompt strategies, evaluation frameworks, and quality‑control methods. 

• Integrate embedding models, vector databases, and memory mechanisms into scalable architectures. 

• Collaborate with cross‑functional project teams to translate business needs into engineering deliverables. 

• Apply engineering best practices (testing, CI/CD, observability, performance monitoring). 

• Stay up to date with emerging AI frameworks, model capabilities, and cloud services. 

• Support responsible AI practices, including fairness, interpretability, and risk mitigation. 

• Consistently contribute beyond the AI remit, particularly in MLOps, ensuring seamless deployment and operations of AI solutions. 

• Conduct original research even in areas with limited references, driving innovation within the team. 

Requirements of the role

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related discipline. 

• Strong software engineering skills in Python (including e.g. FastAPI, FastMCP). 

• Hands‑on experience building LLM applications (prompting, fine‑tuning, evaluation, structured output). 

• Practical knowledge of RAG architectures, embedding models, and vector databases. 

• Experience with AI/LLM orchestration frameworks (e.g., LangChain, LangGraph, Autogen, CrewAI). 

• Familiarity with cloud‑native development (Azure preferred; AWS/GCP an advantage). 

• Understanding of data engineering practices and ability to work with large datasets. 

• Experience with version control, Docker, CI/CD pipelines, and testing strategies. 

• Knowledge of responsible AI principles and mitigation methods is a plus. 

• Strong Analytical skills, innovative and a problem-solving mindset 

• Demonstrating ownership and technical depth. 

• Very good command of English (spoken and written). 

• Effective communication skills for cross-functional collaboration. 

• Remote vs Onsite: Hybrid - 2 days in the Prague office, 3 days remote, attendance to regular planning sessions/workshops required 

Hackerrank: Yes 

Working Overlap: Yes, minimum 2–6pm CET 

Nice to have

• Experience working as part of a global/multinational team

• Hands-on experience with one or more cloud services (Azure, AWS, GCP)

• Being up to date with the current trends and advancements in the data science field

• Any experience in deep learning, computer vision and/or geo analytics is a plus

• Previous experience with development using agile methodologies like Scrum or Kanban

• Interest in behavioral economics and/or data science

• Github profile

• Ideally, we are looking for candidates with proficiency in Czech

Our benefits and fun

• Stable, but challenging working environment providing plenty of opportunities for your continuous professional growth.

• Fair salary plus annual bonus and flexible working hours.

• Paid time off 30 days, 3 wellbeing days and 2 extra days off from the company at the end of the year.

• High-end Ultrabook and iPhone with unlimited data.

• Benefit program with 45.000 points that you can use for holidays, education, food vouchers, sports, health... Simply on what you enjoy.

• Support for your education and development: we offer business and digital training and many other training and workshops to further develop your personal and professional skills. We pay for technical certifications and the time you spend studying them.

• Opportunity to work with foreign PwC offices, for example in the UK, DE, NL, USA, Canada and other countries

• Extra-work activities and Away Days (team building, ski weekend, etc.).

• You will develop your skills while having the support from the top notch professionals in the team (also career coaching etc).

PwC is the largest audit team in the Czech Republic, but also law, tax, consulting and technology, data or forensic teams. Find out how easy it is to combine this knowledge when you're in the right place. With us, you will get the opportunity to see how business is done in large companies. We are part of an international network of companies with more than 364,000 colleagues in 151 countries. At PwC, we create an inclusive work environment where everyone can be themselves and find their place and opportunity to develop. This year, we have successfully maintained the prestigious Equal Pay Certification, making us one of only four companies in the Czech Republic (and the only one from the Big 4) that demonstrably implements fair compensation practices regardless of gender. 

Are you interested in our offer? Let us know about yourself and we will discuss more details together!

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