AI Engineer

Quick Facts

• Role: AI Engineer working on design, development, and operation of AI and generative AI solutions
• Focus: LLM integration, RAG systems, DevOps/automation, MLOps/LLMOps, cloud and on-prem operations

Description

You will design, develop, and deploy AI and generative AI applications and services. The work includes integrating AI models and services into internal systems, building RAG solutions using LLMs connected to internal data, and operating production AI services with monitoring and optimization.

Responsibilities

• Design, develop, and deploy AI and generative AI applications and services
• Integrate AI models and services into internal systems and applications
• Design and develop RAG solutions, working with LLMs and connecting them to internal data
• Build and automate environments for development, testing, and operation of AI solutions
• Set up CI/CD pipelines and MLOps/LLMOps procedures
• Work with containers and orchestrate AI workloads
• Use cloud and on-premise AI services and platforms
• Monitor, optimize, and troubleshoot production issues in AI applications
• Collaborate with AI architects, developers, cloud, and infrastructure teams

Requirements

• University degree, ideally technical or IT
• At least 3 years of experience in AI/ML development or software engineering
• Very good knowledge of Python
• Experience developing and integrating LLM-based (or other AI model) applications
• Experience with APIs, backend development, integration technologies, and distributed systems
• Knowledge of Docker and containerization principles
• Experience with CI/CD and automation for development and deployment
• Knowledge of Git and modern software development practices
• English B1/B2 (SERR)

Benefits

• Cafeteria benefits
• 5 weeks of vacation
• Sick days
• Meal vouchers
• Above-standard health-prevention programs
• Contribution to pension or life insurance and DIP
• Opportunity for professional growth and development