Senior AI Platform Engineer (EU-Based)

Location: Eastern Europe 
Timezone: CET-aligned
Level: Senior 
Employment Type: Full-time

We are seeking a Senior AI Platform Engineer who has architected and deployed production-grade AI systems at scale.

This role is focused on foundational AI platform development, not surface-level integrations. The ideal candidate has built end-to-end AI systems, owned platform architecture decisions, and operated AI infrastructure in real enterprise environments.

You will work on designing and scaling advanced AI systems, including retrieval-augmented generation (RAG), multi-agent orchestration, model optimization, evaluation pipelines, and production infrastructure.

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  Architect and build scalable, production-grade AI platforms from the ground up

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  Design and deploy advanced RAG systems, including hybrid retrieval, re-ranking, and vector search

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  Develop and orchestrate multi-agent AI workflows

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  Implement robust evaluation frameworks to monitor relevance, safety, hallucination rates, and alignment

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  Lead LLM optimization efforts including fine-tuning, quantization, distillation, and inference performance improvements

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  Design and manage cloud-native AI infrastructure using Kubernetes and modern MLOps/LLMOps practices

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  Collaborate cross-functionally to ensure AI systems meet enterprise reliability, scalability, and governance standards

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  Contribute to technical roadmapping and architectural decision-making

• 6+ years of experience in software engineering with deep specialization in AI/ML systems

• Proven experience building and scaling production AI platforms (not limited to prototype or integration work)

• Strong Python engineering background with production-quality code

• Experience designing and deploying RAG architectures

• Experience building or orchestrating multi-agent systems

• Hands-on experience with LLM optimization techniques (e.g., PEFT, LoRA, QLoRA, quantization, distillation)

• Experience deploying AI systems using Kubernetes (EKS, GKE, AKS, or similar)

• Experience implementing model evaluation, monitoring, and performance measurement pipelines

• Demonstrated ownership of end-to-end AI system architecture

• Experience with hybrid search architectures (BM25 + dense retrieval)

• Experience with vector databases such as Weaviate, PgVector, Pinecone, or FAISS

• Experience with LangChain, LangGraph, Microsoft Agent Framework, or similar orchestration frameworks

• Experience building feature stores or model registries

• Experience implementing LLM-as-a-Judge or similar evaluation frameworks

• Experience working in enterprise-scale or high-traffic production environments

• Experience mentoring engineers or leading AI initiatives

This position is not focused on:

• Chatbot integrations or surface-level LLM feature implementations

• Prompt engineering without infrastructure ownership

• Frontend-heavy or integration-focused AI roles

We are looking for engineers who have owned foundational AI systems and can demonstrate real-world production impact.

• Must be based in Eastern Europe 

• Must be comfortable collaborating within CET working hours