Applied Machine Learning Engineer | GenAI / LLM / ML Systems

Applied Machine Learning EngineerGenAI / LLM / ML Systems / Production AI

Location: Remote / Hybrid

Offices: Warsaw, Kraków, Wrocław, Gdańsk

Employment type: B2B or Employment Contract

Seniority: Mid+ / Senior

Recruitment process: Remote

Salary range: B2B: 26 000 - 42 000 PLN net + VAT; Employment Contract: 20 000 - 32 000 PLN gross

About the project

Our client is developing advanced AI-powered products where Machine Learning is not an internal experiment, but a core part of the product experience. The team is building systems that use modern ML and GenAI techniques to understand data, support decision-making, automate complex workflows, generate insights, personalize user experiences and improve business processes.

What you will work on

• Designing, building and improving Machine Learning models for real product use cases


• Working on LLM-based applications, RAG pipelines, embeddings, semantic search or AI agents


• Developing ML pipelines for training, evaluation, deployment and monitoring


• Building features based on structured and unstructured data


• Preparing datasets, improving data quality and designing features


• Evaluating model performance using offline and online metrics


• Improving accuracy, reliability, latency, cost and stability of AI systems


• Deploying models and ML services into production environments


• Collaborating with software engineers, data engineers, product teams and business stakeholders


• Experimenting with new AI approaches and translating them into practical product features


• Building systems that can learn from feedback and improve over time

What we are looking for

We are looking for someone with:

• Strong experience with Python


• Practical experience in Machine Learning or Applied AI


• Experience with frameworks such as PyTorch, TensorFlow, scikit-learn or similar


• Good understanding of model training, validation, evaluation and deployment


• Experience working with real datasets and production-oriented ML problems


• Ability to write clean, maintainable and testable code


• Good understanding of data processing, feature engineering and model performance metrics


• Experience with APIs, backend services or ML model serving


• Ability to work closely with product and engineering teams


• Good problem-solving skills and ownership mindset


• English allowing you to work in an international technical environment

Nice to have

It would be great if you also have experience with:

• LLMs, GenAI or NLP systems


• RAG, vector databases, embeddings or semantic search


• LangChain, LangGraph, LlamaIndex, OpenAI API, Anthropic API or similar tools


• Fine-tuning, prompt engineering, model evaluation or guardrails


• MLOps tools such as MLflow, Weights & Biases, Airflow, Kubeflow or similar


• Cloud platforms such as AWS, GCP or Azure


• Docker, Kubernetes or CI/CD


• Model serving with FastAPI, BentoML, TorchServe, Triton or similar


• Data warehouses, data lakes or modern data platforms


• Recommendation systems, ranking models, forecasting, classification or anomaly detection


• A/B testing, experimentation or production monitoring

Technical stack

• Core: Python, Machine Learning, PyTorch/TensorFlow/scikit-learn, SQL, APIs, data processing


• Nice to have: LLMs, RAG, embeddings, vector databases, LangChain/LangGraph, MLflow, Docker, Kubernetes, AWS/GCP/Azure, FastAPI

What the client offers

• Work on modern AI and Machine Learning products


• Opportunity to build production-grade AI systems, not only experiments


• Projects involving GenAI, LLMs, ML systems, data and product intelligence


• Strong technical team and space for ownership


• Flexible work model: fully remote or hybrid


• Offices in Warsaw, Kraków, Wrocław and Gdańsk


• Fast and transparent recruitment process


• B2B or Employment Contract


• Attractive salary depending on experience


• Opportunity to grow in one of the fastest-growing areas of engineering