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AI Engineer Job Opening In Poland, Poland – Now Hiring EXUS


Job description

 is a global technology company specializing in debt collections software for financial services and utilities.

Our enterprise SaaS platform is used in over 50 countries worldwide, delivering measurable improvements in collections, compliance, and operational efficiency.

With 20+ years of experience and a product recognized by Gartner as best-in-class, we combine global insight with local adaptability to empower collections teams worldwide. 

Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world. 

This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people.

We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good.

We are positive and eager to learn and explore.

We are committed to our vision. 

Our shared Values: 

  • We are transparent and direct 
  • We are positive and fun, never cynical or sarcastic 
  • We are eager to learn and explore 
  • We put the greater good first 
  • We are frugal and we do not waste resources 
  • We are fanatically disciplined, and we deliver on our promises 

We are EXUS! Are you? 

EXUS is looking for a talented AI Engineer to join us in building the next generation of intelligent credit risk and collections systems.

This is a remote-first role, with the opportunity to collaborate in hybrid mode at our Athens offices alongside cross-functional teams shaping AI-powered features for real-world impact. 

As an AI Engineer you will  be developing production-grade AI that blends state-of-the-art LLM-based agentic workflows with conventional machine learning to power next-generation credit-risk, early-warning and digital collections capabilities inside our EXUS Financial Suite (EFS). 

Requirements

  • BSc in Computer Science, Engineering, Mathematics, Physics, or related STEM field (MSc/PhD a plus).
  • At least 3 years of experience building ML/AI solutions, including hands-on work with LLMs or Generative AI in production.
  • Experience in financial services, credit risk, or banking is a plus.
  • Skilled in Python, writing clean, modular, and tested code with async handling, dependency management, and testing practices.

    Familiarity with GenAI coding assistants (e.g., Cursor, Copilot) is a plus.
  • Hands-on experience with LLM and Generative AI frameworks such as LangGraph, LangChain, or Pydantic AI for building workflows, RAG pipelines, and AI agents.
  • Familiar with LLM fine-tuning methods such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).
  • Proficient in ML/DL frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow for supervised, unsupervised, and time-series modeling.
  • Familiar with MLOps and observability tools, including MLflow, Kubeflow, LangSmith, or Langfuse, for managing lifecycles and monitoring models end-to-end.
  • Solid theoretical foundation in statistics, probability, optimization, and ML fundamentals such as bias/variance trade-offs, loss functions, and evaluation metrics.

Nice-to-Have Skills:

  • Experience with CI/CD and observability using Git-based automation (e.g., GitHub Actions, GitLab CI) and monitoring tools like Prometheus, Grafana, or OpenTelemetry.
  • Exposure to data and feature pipelines with tools such as Airflow, Spark, or Kafka, including designing or contributing to workflows and feature stores.
  • Familiarity with cloud-native development on AWS, Azure, or GCP, including containerized deployment with Docker/Kubernetes and basic infrastructure-as-code.
  • Understanding of API and system architecture, including event-driven design and API exposure (REST/gRPC), with the ability to reason about latency, throughput, and scaling trade-offs.
  • Awareness of security and compliance in ML, including responsible-AI practices, model governance, and secure deployment (e.g., GDPR, MLOps access control).

General Skills:

  • Curious and inventive spirit; motivated to explore emerging techniques, experiment boldly, and translate ideas into working systems.

  • Thrive in fast-moving, autonomous squads; action-oriented with a focus on continuous improvement.

  • Excellent command of the English language (both verbal and written); clear communicator able to convey complex models into business value for non-technical stakeholders.

  • Strong problem-solving and analytical thinking skills.

  • Team player, self-motivated, and constantly seeking new knowledge.

  • Growth mindset with strong alignment to EXUS values.

  • Fulfilled military obligations (If applicable).

Benefits

At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success. 

  • Fully remote work setup 
  • Competitive salary 
  • Inclusive work environment & Well-being Program 
  • A clear induction program & a mentoring buddy to help you 
  • Private health insurance allowance  
  • Unlimited time off 

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Engineer Potential: Insight & Career Growth Guide


Real-time AI Engineer Jobs Trends (Graphical Representation)

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Are You Looking for AI Engineer Job?

Great news! is currently hiring and seeking a AI Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EXUS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

What Is the Average Salary Range for AI Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Poland. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI Engineer?

Key qualifications for AI Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for AI Engineer?

To improve your chances of getting hired for AI Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for AI Engineer Job Success

EXUS interview tips for AI Engineer

Here are some tips to help you prepare for and ace your AI Engineer job interview:

Before the Interview:

Research: Learn about the EXUS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI Engineer interview at EXUS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EXUS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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