Agentic AI/Machine Learning Engineer

We are looking for a motivated individual with experience in machine learning and agentic AI to join projects in the fields of multi-agentic platforms for industry. If you’re passionate about applying AI-driven solutions to real-world challenges and want to contribute to innovative R&D work, this is the place for you.

Key information:

Salary:

• 16 000 – 20 000 PLN net/month – pure B2B contract

• 14 000 – 17 500  PLN net/month – B2B contract (days off included)

It is vital that you have:

• problem-solving mindset;

• can-do attitude;

• experience in the implementation of commercial projects;

• ability to discuss and propose the most efficient solution;

• good overview of the state-of-the-art in ML models;

• well-grounded technical knowledge from NLP;

• willingness to share knowledge with adequate knowledge transfer skills;

• great teamwork abilities with a ‘hands-on’ approach;

• passion for supporting team members in their career growth;

• drive to learn new technologies;

• hands-on experience with RAG and building AI agents;

• knowledge of English (min. B2).

  
  

Nice to have:

• TensorFlow

• AG-UI

• TF Lite

• Edge Impulse

• PyTorch Mobile

• MinIO

• Amazon S3/Azure Blob

• SHAP

• Jetson

  
  

Technology stack:

• Python 3.11 and up

• PyTorch

• Agno/LangChain+LangGraph/CrewAI

• DeepEval/Promptfoo

• Pandas/Polars

• AWS/Azure familiarity

• MCP

• A2A

• Prompt engineering

• Pytest

• VSCode

• Experiment tracking framework (DVC studio, MLFlow, W&B, or similar)

  
  

You will be responsible for supporting our team in:

• implementing AI agents and tests for these agents, with evaluating the agents’ performance;

• building tools for agents, writing tests for the tools;

• integrating agents within a multi-agentic ecosystem;

• working on the Python codebase development;

• integrating agents with external tools and services.

  
  

What do we offer:

• possibility to work 100% remotely or on-site at our office in Gdańsk;

• b2b contract with included 30 days off;

• private Medical care;

• group insurance;

• pre-paid card or Sport Card;

• referral program;

• real Agile practices;

• employee well-being online platform;

• cafeteria benefits.