platform engineer for AI infrastructure

Enfint; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Private medical care

Wellbeing platform access

Remote/ Warsaw office

Job summary

Enfint приглашает опытного инженера платформы для разработки масштабируемой AI-платформы в рамках архитектуры LangGraph и RAG-компонентов. В задачи входит проектирование маршрутизации на базе LLM, настройка лямбда-моделей и обеспечение стоимости.

Работа через кросс-функциональные команды и интеграцию с инструментах enterprise. Требуется 4+ года опыта в платформах и бэкенде, уверенное владение Python/Go/Java, Kubernetes и ArgoCD, GitLab CI/CD, а также знание LLM фреймворков.

Qualifications

• 4+ Years as a Platform Engineer, Backend Engineer, or AI Engineer with hands-on platform or service delivery experience.
• Strong software engineering fundamentals, including Python and/or Go/Java, clean code practices, and system design.
• Production experience with Kubernetes and ArgoCD for GitOps deployments.
• Expert-level knowledge of GitLab CI/CD.
• Practical experience with LLM frameworks and agentic systems such as LangGraph or Pydantic AI.
• Working knowledge of RAG systems, vector databases, similarity search, and prompt engineering.
• Understanding of LLM routing and optimization, including cost-aware model selection, latency reduction, and multi-model orchestration.
• Experience building or managing API gateways, reverse proxies, or load-balancing infrastructure.
• Strong foundation in infrastructure-as-code, Git, and CI/CD best practices.
• Excellent communication skills and ability to work with AI/ML teams, data engineers, and product managers.
• Nice to have: experience with prompt management and versioning systems, semantic caching or prompt optimization, multi-tenant SaaS architecture or PaaS design, LLM evaluation frameworks, vector database optimization or semantic search, advanced deployment patterns such as canary, blue-green, and A/B testing.

Responsibilities

• Design and implement an enterprise AI platform with LLM-based routing, intelligent model selection, fallback strategies, and cost optimization.
• Build and maintain MCP gateway infrastructure integrating enterprise tools and internal data with AI agents.
• Architect LangGraph-based orchestration frameworks for complex agentic workflows.
• Implement RAG platform components, including vector search integration, prompt optimization, and chunking strategies.
• Establish observability with tracing, cost monitoring, token usage analytics, and LLM quality metrics.
• Design and optimize APIs for LLM interactions.
• Build deployment and orchestration pipelines with Kubernetes and ArgoCD.
• Establish GitLab CI/CD infrastructure for automated testing, deployment, and versioning.
• Implement security, authentication, rate limiting, and multi-tenant isolation for AI endpoints.
• Create self-service developer interfaces and documentation.
• Design prompt management and versioning systems.
• Lead technical initiatives, conduct code reviews, mentor engineers, and foster an AI-first engineering culture.

Skills

Python

Go

Java

Go/Java

Kubernetes

ArgoCD

GitLab CI/CD

LLM frameworks

LangGraph

Pydantic AI

API gateways

routing

multi-tenant SaaS

CI/CD best practices

Tools

Kubernetes

ArgoCD

GitLab CI/CD

Job description

Описание

XTB is a global financial industry company focused on online trading of financial instruments. It is the largest FinTech in Poland and a leader in Central and Eastern Europe, operating across several countries in Asia and South America.

Задачи

• Design and implement an enterprise AI platform with LLM-based routing, intelligent model selection, fallback strategies, and cost optimization;
• Build and maintain MCP gateway infrastructure integrating enterprise tools and internal data with AI agents;
• Architect LangGraph-based orchestration frameworks for complex agentic workflows;
• Implement RAG platform components, including vector search integration, prompt optimization, and chunking strategies;
• Establish observability with tracing, cost monitoring, token usage analytics, and LLM quality metrics;
• Design and optimize APIs for LLM interactions;
• Build deployment and orchestration pipelines with Kubernetes and ArgoCD;
• Establish GitLab CI/CD infrastructure for automated testing, deployment, and versioning;
• Implement security, authentication, rate limiting, and multi-tenant isolation for AI endpoints;
• Create self-service developer interfaces and documentation;
• Design prompt management and versioning systems;
• Lead technical initiatives, conduct code reviews, mentor engineers, and foster an AI-first engineering culture.

Требования

• 4+ Years as a Platform Engineer, Backend Engineer, or AI Engineer with hands-on platform or service delivery experience;
• Strong software engineering fundamentals, including Python and/or Go/Java, clean code practices, and system design;
• Production experience with Kubernetes and ArgoCD for GitOps deployments;
• Expert-level knowledge of GitLab CI/CD;
• Practical experience with LLM frameworks and agentic systems such as LangGraph or Pydantic AI;
• Working knowledge of RAG systems, vector databases, similarity search, and prompt engineering;
• Understanding of LLM routing and optimization, including cost-aware model selection, latency reduction, and multi-model orchestration;
• Experience building or managing API gateways, reverse proxies, or load-balancing infrastructure;
• Strong foundation in infrastructure-as-code, Git, and CI/CD best practices;
• Excellent communication skills and ability to work with AI/ML teams, data engineers, and product managers;
• Nice to have: experience with prompt management and versioning systems, semantic caching or prompt optimization, multi-tenant SaaS architecture or PaaS design, LLM evaluation frameworks, vector database optimization or semantic search, advanced deployment patterns such as canary, blue-green, and A/B testing.

Условия

• Real influence on company and product development;
• Experienced team with knowledge sharing;
• Regular feedback and clear career paths;
• Regular team-building meetings;
• Training budget for courses and conferences;
• Extra day off on birthdays;
• Extra day off for parents;
• Equipment tailored to individual needs;
• Private medical care and group insurance;
• Access to English-learning and benefits platforms;
• Access to a wellbeing platform, workshops, and private therapy sessions;
• Remote work, from the office in Warsaw or from a coworking space in the employee’s city.