Senior GenAI & Agentic Systems Engineer

Provectus; Kraków; On-site; PLN 180,000 - 280,000; Full time

Job summary

Provectus is seeking an ML Engineer to build and maintain cutting‑edge ML models and pipelines. You will collaborate with engineers, data scientists, and product managers to ship production models and define an experimentation roadmap.

You will set up reproducible environments, monitor production performance, and document models and processes while staying current with ML/AI advances and proposing innovative solutions.

Qualifications

• Proficient with standard ML algorithms and underlying math.
• Hands-on production experience with LLMs, RAG, and agentic systems.
• Experience with AWS Bedrock strongly preferred.
• Experience solving classification and regression tasks and feature engineering.
• Experience with ML models in production and NLP/LLMs/Recommendation use cases.
• Solid software engineering skills for modular, production-ready code.
• Proficient in Python and Docker.
• Excellent communication and problem-solving skills.

Responsibilities

• Create ML models from scratch or improve existing models.
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap.
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

Skills

ML algorithms

Math fundamentals

Production ML

NLP/LLMs

Agentic systems

Problem solving

Communication

English (upper-intermediate)

Tools

Python

Docker

AWS Bedrock

SageMaker

Spark

Dask

Great Expectations

Job description

Provectus is seeking an ML Engineer to build and maintain cutting‑edge ML models and pipelines. You will collaborate with engineers, data scientists, and product managers to ship production models and define an experimentation roadmap.

You will set up reproducible environments, monitor production performance, and document models and processes while staying current with ML/AI advances and proposing innovative solutions.