Role overview
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production.
Strong Python skills (typed code, async, testing) and solid SQL fluency.
Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs — including tool use, memory, and multi-step reasoning patterns.
Practical experience with MCP or comparable tool/function-calling protocols; comfortable designing tool schemas and sub-agent boundaries.
Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders
What we're looking for
Strong GCP experience and ecosystem knowledge: Vertex AI (Agent Engine, Model Garden, Pipelines, Endpoints), Cloud Run, BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage
Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards
Model monitoring experience: drift detection, data quality issues, performance degradation, bias checks, and alerting strategies
Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.
Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.
Pro tip:
Take it easy about meeting every requirement - this job description is just that, a job description! Even if you don’t tick every box, we want you to apply anyway! This is your chance to grow, learn, and build your career with us. We value potential over perfection, and we are all about mutual growth!
myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.
Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!
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Department
Data and AI - Data
Locations
Warsaw
Remote status
Fully Remote