Remote AI Engineer: Generative AI & MLOps Specialist

Kempuri; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Remote work flexibility

Benefits package

Professional development

Access to latest technologies

Learning support

Job summary

Kempuri's AI Engineering team is building enterprise-grade AI solutions spanning from ideation to deployment. You will design and deploy Generative AI apps, optimize LLM-driven retrieval systems, and work with stakeholders to identify impactful use cases.

The role emphasizes MLOps, scalable architectures, and collaboration across business and technical teams. We offer remote work flexibility, a comprehensive benefits package, and opportunities to learn cutting-edge technologies.

Qualifications

• Minimum 3 years of experience in AI Engineering, ML Engineering, or Software Engineering.
• Strong understanding of machine learning, Generative AI, and Large Language Models (LLMs).
• Hands-on experience building and deploying AI solutions using cloud platforms such as Azure AI Services, Azure Machine Learning, AWS SageMaker, Google Vertex AI, or similar.
• Experience with LLM frameworks and orchestration tools such as LangChain, Semantic Kernel, LlamaIndex, or equivalent.
• Strong programming skills in Python and experience with software development best practices.
• Experience building APIs, microservices, and AI-enabled applications.
• Familiarity with vector databases, Retrieval Augmented Generation (RAG), embeddings, and prompt engineering.
• Experience with MLOps practices, CI/CD pipelines, monitoring, and model deployment.
• Knowledge of Docker, Kubernetes, Git, and cloud-native architectures.
• Strong communication skills and ability to translate business requirements into technical solutions.

Responsibilities

• Design, develop, and deploy AI-powered applications and services across the full solution lifecycle.
• Build and optimize Generative AI solutions using Large Language Models and retrieval systems.
• Collaborate with business stakeholders to identify use cases and assess AI adoption opportunities.
• Develop scalable and production-ready AI architectures following security and governance standards.
• Implement MLOps practices, model monitoring, and performance optimization mechanisms.
• Integrate AI solutions with enterprise systems, APIs, and data platforms.
• Evaluate emerging AI technologies and recommend their practical application in business environments.
• Support client workshops, PoCs, MVPs, and production implementations.
• Analyze solution effectiveness and measure business impact, adoption metrics, and ROI.

Skills

Generative AI

LLMs

Python

APIs & microservices

MLOps & CI/CD

Docker

Kubernetes

Azure AI Services

AWS SageMaker

Vertex AI

LangChain

RAG

Tools

Azure AI Services

AWS SageMaker

Vertex AI

LangChain

Semantic Kernel

LlamaIndex

Docker

Kubernetes

Git

Job description

Kempuri's AI Engineering team is building enterprise-grade AI solutions spanning from ideation to deployment. You will design and deploy Generative AI apps, optimize LLM-driven retrieval systems, and work with stakeholders to identify impactful use cases.

The role emphasizes MLOps, scalable architectures, and collaboration across business and technical teams. We offer remote work flexibility, a comprehensive benefits package, and opportunities to learn cutting-edge technologies.