[Hiring] Senior AI Platform Engineer @XTB

Role Description

We are seeking a Senior AI Platform Engineer with strong platform engineering and DevOps expertise to design, build, and maintain a cutting-edge developer platform that empowers teams to build and deploy AI-driven solutions at scale. This role bridges software engineering excellence with AI tool orchestration, focusing on creating self-service platforms for LLM integration, agentic workflows, and enterprise AI infrastructure.

• Design and implement an enterprise AI platform with LLM-based routing, intelligent model selection, fallback strategies, and cost optimization.
• Build and maintain MCP (Model Context Protocol) gateway infrastructure enabling seamless integration of enterprise tools and internal data with AI agents.
• Architect LangGraph-based orchestration frameworks for complex agentic workflows, enabling developers to compose multi-step AI applications.
• Implement RAG (Retrieval-Augmented Generation) platform components: vector search integration, prompt optimization, and chunking strategies.
• Establish comprehensive observability using Langfuse and similar tools: tracing, cost monitoring, token usage analytics, and LLM quality metrics.
• Design and optimize APIs for LLM interactions, enabling developers to access platform capabilities seamlessly.
• Build deployment and orchestration pipelines using Kubernetes (K8s) with ArgoCD for GitOps-driven AI service deployments.
• Establish CI/CD infrastructure using GitLab CI/CD for automated testing, deployment, and versioning of AI platform components.
• Implement security, authentication, and rate limiting for AI endpoints protecting against abuse and ensuring multi-tenant isolation.
• Create self-service developer interfaces and documentation enabling non-AI-experts to build sophisticated agentic applications.
• Design prompt management and versioning systems, enabling teams to collaborate on prompts and track performance across versions.
• Lead technical initiatives, conduct code reviews, mentor engineers, and foster AI-first engineering culture.

Qualifications

• 4+ years as a Platform Engineer, Backend Engineer, or AI Engineer with hands-on platform/service delivery experience.
• Strong software engineering fundamentals: proficiency in Python and/or Go/Java, clean code practices, system design.
• Production experience with container orchestration (Kubernetes) and ArgoCD for GitOps deployments.
• Expert-level knowledge of GitLab CI/CD: designing reliable pipelines, managing deployments, optimizing build efficiency.
• Practical experience with LLM frameworks and agentic systems (LangGraph, Pydantic AI, or equivalent).
• Working knowledge of RAG systems: vector databases, similarity search, prompt engineering for retrieval-augmented contexts.
• Understanding of LLM routing and optimization: cost-aware model selection, latency reduction, multi-model orchestration.
• Experience building or managing gateway/proxy infrastructure (API gateways, reverse proxies, load balancing).
• Strong foundation in infrastructure-as-code, version control (Git), and CI/CD best practices.
• Excellent communication: ability to work with AI/ML teams, data engineers, and product managers to translate requirements into platform solutions.

Requirements

• Experience building prompt management and versioning systems.
• Knowledge of semantic caching or prompt optimization techniques.
• Experience with multi-tenant SaaS architecture or platform-as-a-service (PaaS) design.
• Familiarity with evaluation frameworks for LLM outputs or agentic behavior.
• Experience with vector database optimization or semantic search.
• Knowledge of advanced deployment patterns (canary, blue-green, A/B testing) for AI services.

Benefits

• A training budget for courses and conferences that interest you.
• An extra day off on your birthday.
• An extra day off for parents.
• Equipment tailored to your needs.
• Private medical care and group insurance.
• Access to an e-learning platform for learning English and a benefits platform.
• Access to a wellbeing platform and the opportunity to take advantage of workshops and private therapy sessions.
• Remote work, from the office in Warsaw or from a coworking space in your city.
• 20,400 zł - 25,900 zł a month.