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About the role. You will: Implement AI-driven solutions for international clients, with a strong focus on LLMs, agentic architectures and data-centric engineering. Develop and integrate Python-based backend components that interact with LLM APIs and local/on-premise models. Build and maintain RAG pipelines, vector databases and retrieval logic. Implement integrations with external systems, internal APIs and AI model endpoints. Design and develop agent-based architectures and orchestrations for complex workflows. Work with Docker and Docker Compose to create reproducible development and production environments. Collaborate directly with clients, architects and other developers as an active member of an agile project team.
Job Responsibility:
Implement AI-driven solutions for international clients, with a strong focus on LLMs, agentic architectures and data-centric engineering
Develop and integrate Python-based backend components that interact with LLM APIs and local/on-premise models
Build and maintain RAG pipelines, vector databases and retrieval logic
Implement integrations with external systems, internal APIs and AI model endpoints
Design and develop agent-based architectures and orchestrations for complex workflows
Work with Docker and Docker Compose to create reproducible development and production environments
Collaborate directly with clients, architects and other developers as an active member of an agile project team
Requirements:
At least 1 year of commercial experience as a software developer (or relevant hands-on experience in AI/ML/LLM engineering)