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

Overview

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.

Key Responsibilities

Architect and build scalable, production-grade AI platforms from the ground up
Design and deploy advanced RAG systems, including hybrid retrieval, re-ranking, and vector search
Develop and orchestrate multi-agent AI workflows
Implement robust evaluation frameworks to monitor relevance, safety, hallucination rates, and alignment
Lead LLM optimization efforts including fine-tuning, quantization, distillation, and inference performance improvements
Design and manage cloud-native AI infrastructure using Kubernetes and modern MLOps/LLMOps practices
Collaborate cross-functionally to ensure AI systems meet enterprise reliability, scalability, and governance standards
Contribute to technical roadmapping and architectural decision-making

Required Qualifications

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

Preferred Experience

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

What This Role Is Not

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.

Location Requirements

Must be based in Eastern Europe
Must be comfortable collaborating within CET working hours

Senior AI Platform Engineer (EU-Based)