Your area of work:
Work on varied projects defining / refining the AI approaches and delivering the resulting pipelines in line with internal architecture standards and group AI governance.
Your responsibilities:
Translate business requirements into AI-driven solutions in close collaboration with product owners and domain expert(s)
Build and maintain scalable data pipelines for model fine-tuning and inference.
Develop prompt engineering strategies, RAG architecture, and agent workflows for GenAI use cases; with willingness to demo solutions to internal clients.
Design and Integrate AI/LLM capabilities into enterprise applications and low-code platforms.
Define KPIs, and bias/robustness checks.
Evaluate and benchmark foundation models, frameworks, and third-party AI services for fit-for-purpose use
Implement AI Ops practices (versioning, testing, monitoring, drift alerts).
Ensure solutions meet enterprise standards for security, data privacy, and compliance (especially relevant in a regulated financial environment).
Produce documentation for AID/InfoSec and support audits/compliance.
Your profile:
Bachelor’s or Master’s degree in Computer science, Data Science, Mathematics, or a related field
3+ years in AI engineering (Python, ADK, Vector stores/embeddings).
Prompt engineering, Retrieval‑augmented generation (RAG), evaluation harnesses.
Proven track record of delivering AI solutions end-to-end — from ideation and prototyping through to production deployment
Familiarity with governance, model registers, and risk controls for AI.
Experience working in an enterprise or regulated industry environment (financial services preferred)
Exposure to agile delivery methods and cross-functional team collaboration
Proficiency in written and spoken English
Would be an advantage
Experience with model serving and AI Ops on cloud (GCP preferred).
Strong problem-solving skills with the ability to translate complex business needs into technical solutions
Clear communicator — able to explain AI concepts and trade-offs to non-technical stakeholders
Self-driven, with a proactive approach to staying current with rapidly evolving AI tooling and research
High attention to detail, particularly around data quality, security, and compliance considerations
You can look forward to our benefit package:
Hybrid Work and Flexible working hours
Work from abroad - 12 days of remote work from EU countries per year
Group Share Plan - discount on company shares
Pension fund contribution - 3% of your gross salary (5% after 5 years with us)
Health & Wellbeing - fully covered Multisport card, life & accident insurance, sick days and 100% salary contribution during sick leave (up to 56 days)
25 vacation days
Mobility - fully covered public transport in Prague & free parking
Flexible Benefit Account (Pluxee) - 1200 per month
Free Access to E-Learning Platforms, Internal Development Programs, Mentoring & Learning Budget