At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.
As we are expanding our team, we’re looking for AI engineerto help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!
About the role:
As an AI Engineer, you'll design, build, and operate production-grade AI/ML systems - from agentic applications and MCP-powered tools to the underlying MLOps infrastructure and data foundations that make them reliable at scale. You'll sit at the intersection of applied AI, DevOps/MLOps, and data engineering, taking systems from prototype to production and keeping them healthy once they're there. Your work will power intelligent products and internal automation across the company, and will help shape how the organisation safely adopts AI at scale.
What you’ll do:
- Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
- Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
- Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
- Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
- Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
- Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
- Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
- Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
This role is perfect for you if you have:
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
Nice to have:
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
Why you should join myPOS:
- Vibrant international team operating in hi-tech environment
- Excellent compensation package
- myPOS Academy for upskilling and training
- Unlimited access to courses on LinkedIn Learning
- Refer a friend bonus as we know that working with friends is fun
- Teambuilding, social activities and networks on a multi-national level
Who we are:
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