AI Engineer

AI/ML

Bukowińska 22, Warszawa

Clouds on Mars Sp. z o.o.

Full-time

B2B

Senior

Remote

Tech stack

Polish

C1

English

C1

Python

advanced

Machine Learning

regular

NLP

regular

Streamlit

regular

AI/ML

regular

Langchain

regular

Azure Fabric

junior

Azure

junior

Databricks

junior

Job description

The AI Engineer is responsible for designing, developing, and deploying AI and machine learning (ML) solutions that address complex business challenges. This role focuses on building high-performing AI applications in a cloud environment, integrating cutting-edge models such as large language models (LLMs), and leveraging advanced tools for data processing and knowledge retrieval. The AI Engineer works on solutions end-to-end, from ideation to production deployment, while staying updated with emerging trends and technologies.

Responsibilities:

• Develop and deploy AI applications, such as conversational search tools, multimodal agents, or classification systems.

• Build data and language processing pipelines using Langchain and cloud-native services.

• Implement knowledge-retrieval systems, leveraging Qdrant, Elasticsearch, or MS AI Search.

• Optimize AI/ML models, including fine-tuning LLMs and implementing Retrieval-Augmented Generation (RAG).

• Work collaboratively with stakeholders to translate business requirements into scalable AI solutions.

• Monitor and evaluate model performance, ensuring solutions meet business objectives.

Requirements:

• 2+ years of experience in AI/ML development, including hands-on experience with LLMs and NLP solutions.

• Advanced knowledge of Python and libraries like Langchain, Streamlit, and ML frameworks.

• Familiarity with AI/ML lifecycle, efficiency metrics, and deployment practices.

• Experience with RAG and fine-tuning large language models.

• Strong problem-solving and communication skills.

• Proficiency in English and Polish.

We offer:

• Free UNUM health insurance – up to 350 000PLN (advanced 500 000PLN)

• Co-fundating for the PZU, Medicover or LuxMed medical package

• Multisport card

• Access to training platforms (MS certificates, SQL BI, Udemy, internal Delivery Excellence Workshops)

• Possibility: 100% remotely work/ hybrid work / work in office (we meet at the office once a month)

• Flexible working hours

• Simple breakfasts, fruit and snacks in our office

• Always chilled beverages in our office

• Program "It's good to stay with us" - a voucher of PLN 2 500 for an employee with 3-year seniority for any purpose

• Paid referral system - get up to PLN 8000 for referring an employee

• A small gift on each anniversary of work at Clouds on Mars

• Quarterly budgets for integration

Published: 04.08.2025

Office location