Senior AI Engineer

🕒 July 27

🇵🇱 Poland – Remote

💵 zł20.4k - zł25.9k / month

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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XTB online investing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

💳 Fintech

💸 Finance

👥 B2C

💰 $194.1M Post-IPO Secondary - Xtb on 2025-05

Fintech • Finance • B2C

XTB online investing is an international online brokerage and investing platform offering access to equities, ETFs, forex, commodities, indices and leveraged CFD instruments through award‑winning web and mobile apps. The firm provides both commission‑free stock and ETF trading (within limits), CFD trading across thousands of instruments, educational resources, market analysis, interest on uninvested funds, and tax‑wrapped ISA products for UK clients; it is regulated by the UK FCA and advertises FSCS protection and consumer risk disclosures. The platform is consumer‑facing, emphasizes digital security and customer support, and highlights over 20 years of industry experience and multiple million users.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.