Platform Engineer, AI Infra & LLM Orchestration (Remote)

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

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.