platform engineer for enterprise AI

Enfint; Netherlands; On-site; EUR 100,000 - 180,000; Full time

Benefits offered by this job

Pension plan scheme

Disability insurance

ESPP

Relocation to the Netherlands

Laptop and corporate SIM card

Job summary

EPAM приглашает опытных инженеров для реализации продвинутых AI-инициатив: GenAI, RAG и оркестрацию агентов в рамках корпоративной платформы. Вы будете заниматься пайплайнами, инфраструктурой и CI/CD для AI workload. Требуется опыт работы с Python/TypeScript/C#, Java или Go, сильное владение Azure и Kubernetes, IaC и мониторингом.

Менеджмент команд и архитектурные решения в рамках SDLC приветствуются. Мы предлагаем конкурентную компенсацию, пакет льгот, релокацию в Нидерланды и развитие через

Qualifications

• 6+ лет опыта в разработке ПО, облачных/DevOps/платформенной инженерии.
• Практический опыт GenAI, RAG, агентских систем и автоматизации платформ.
• Навыки кодирования Python, TypeScript, C#, Java или Go.
• Сильный опыт работы с Microsoft Azure и облачной архитектурой.
• Знание контейнеров, Kubernetes, serverless и IaC.
• Умение демонстрировать production-ready AI-системы и мониторинг.
• Опыт наставничества и сопровождения SDLC с акцентом на качество и governance.
• Хорошие коммуникативные навыки и способность работать с бизнес-клиентами.

Responsibilities

• Построение RAG-пайплайнов, AI-ассистентов и рабочих процессов агентов.
• Реализация Azure AI решений с Foundry, Azure OpenAI и др.
• Обеспечение CI/CD, IaC, обсервабильности и фреймворков для AI-нагрузок.
• Создание шаблонов, демо и onboarding материалов.
• Менторинг инженеров и участие в архитектурных решениях.

Skills

GenAI

RAG

Agentic systems

Copilots

Cloud engineering

Tools

Azure

Kubernetes

Terraform

GitHub Actions

Job description

Описание:

EPAM delivers enterprise software products, open source solutions, accelerators, and enterprise AI transformation programs for real business workflows.

Задачи:

Build RAG pipelines, AI assistants, agent workflows, AI gateway components, MCP-based integrations, and reusable platform elements; Implement Azure AI solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Azure API Management, AKS, Azure Container Apps, Key Vault, Cosmos DB, and monitoring tools; Deliver AI-native engineering workflows using GitHub Copilot, GitHub Actions, GitHub Advanced Security, and secure pull-request patterns; Apply harness engineering patterns for AI systems, including agent instructions, tool contracts, retrieval grounding, evaluation suites, telemetry, safety checks, cost tracking, and human approval gates; Build CI/CD pipelines, IaC automation, observability stacks, and deployment frameworks for AI workloads; Create reusable templates, reference implementations, demos, and onboarding kits for client teams; Own one or more implementation workstreams such as retrieval, orchestration, AI gateways, or Copilot enablement; Mentor engineers, review code, and support architecture decisions for AI-assisted engineering adoption.

Требования:

6+ Years of experience in software engineering, cloud engineering, DevOps, or platform engineering; Hands-on experience with GenAI, RAG, agentic systems, copilots, and AI platform automation; Proven coding skills in Python, TypeScript, C#, Java, or Go for production-grade APIs, back-end services, and infrastructure automation; Strong experience with Microsoft Azure and cloud-native architectures; Knowledge of containers, Kubernetes, serverless models, and Infrastructure-as-Code practices; Familiarity with security, identity, logging, monitoring, cost optimization, and operational readiness principles; Ability to demonstrate production-ready AI systems that are tested, deployed, monitored, and supported at scale; Practical experience mentoring teams and guiding AI-assisted SDLC with quality and governance in mind; Strong communication and collaboration skills adaptable to technical and business environments; Nice to have: deep knowledge of Microsoft Foundry, Azure OpenAI, Azure AI Search and related Azure AI services, experience with GitHub toolchains including Copilot, GitHub Actions, Advanced Security and MCP-based integrations, practical knowledge of RAG implementations including hybrid search, embeddings, semantic ranking and evidence capture, familiarity with Semantic Kernel, Microsoft Agent Framework, LangChain, AutoGen and similar frameworks, strong programming skills in multiple languages, experience in evaluation and agent reliability engineering, exposure to Microsoft 365 Copilot integrations, familiarity with AWS Bedrock, Google Vertex AI, Databricks, Anthropic, Hugging Face or Snowflake.

Условия:

• 26 Paid holiday days
• Pension plan scheme
• Disability insurance and long-term disability insurance
• EPAM Employee Stock Purchase Plan (ESPP)
• Commuting cost reimbursement
• Laptop, corporate SIM card, and corporate mobile device subject to eligibility requirements
• Bike lease
• Employee Assistance Program
• Employee referral rewards
• Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
• Relocation to the Netherlands