Machine Learning Engineer (GenAI)

Experis ManpowerGroup Sp. z o.o.; Warszawa; Hybrid; PLN 240,000 - 320,000; Full time

Job summary

A leading technology consulting firm is looking for a Machine Learning Engineer to work on advanced AI systems. This remote position requires over 5 years of experience in AI/ML engineering, proficiency in Python, and expertise in deploying LLMs. Successful candidates will have a solid background in API engineering and model optimization. Competitive hourly rate offered.

Benefits

MultiSport Plus

Group insurance

Medicover Premium

Access to an e-learning platform

Qualifications

• 5+ years of experience in AI/ML engineering.
• Hands-on experience with LLMs and RAG architectures.
• Strong understanding of NLP and ML techniques.

Responsibilities

• Develop and integrate LLM-based and RAG-powered AI systems.
• Implement agentic AI frameworks.
• Ensure compatibility across different environments.

Skills

AI/ML engineering

Python programming

NLP techniques

Service and API engineering

Containerization tools

Tools

Docker

Kubernetes

PyTorch

TensorFlow

scikit-learn

Job description

Overview

Location: 100% remote work (Poland)

Salary: 200 - 250 PLN/h + VAT (B2B via Experis)

Start Date: ASAP / within 1 month

About the Role: We are building advanced AI systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks to deliver real-time, high-accuracy insights. To ensure production-grade reliability and seamless integration with existing platforms, we are looking for a Machine Learning Engineer with deep expertise in AI/ML methods, Python programming, and modern deployment practices. This role bridges cutting-edge model development with robust service and API engineering.

Responsibilities

• Develop and integrate LLM-based and RAG-powered AI systems
• Implement agentic AI frameworks such as LangChain or LangGraph
• Design and optimize ML models using supervised, unsupervised, and deep learning techniques
• Build and maintain APIs and services with real-time and streaming capabilities
• Ensure compatibility across hardware/software environments
• Manage integration and release engineering processes, including performance impact assessments
• Deploy models using containerization and orchestration tools like Docker and Kubernetes
• Optimize inference pipelines for scalability and reliability

Requirements

• 5+ years of experience in AI/ML engineering
• Hands-on experience with LLMs and RAG architectures
• Proficiency in Python and ML/AI libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Strong understanding of NLP and core ML techniques
• Experience with agentic AI frameworks (LangChain, LangGraph)
• Solid background in service and API engineering
• Proven track record in model deployment and production integration

Nice to Have

• Experience with cloud platforms (especially Azure) and AI/ML services
• Familiarity with vector databases for retrieval tasks
• Knowledge of observability tools for ML systems (logging, tracing, metrics)

What We Offer

• B2B via Experis
• MultiSport Plus
• Group insurance
• Medicover Premium
• Access to an e-learning platform