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MLOps Engineer (GenAI Platform)

Формат работы
remote (только Poland)
Тип работы
project
Грейд
middle
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
MLOps Engineer (GenAI Platform): Building and operating secure, scalable AWS infrastructure for a production agentic AI platform combining retrieval, LLM orchestration, and answer-quality evaluation with an accent on infrastructure as code, container deployment, and platform security. Focus on developing Python services and REST APIs, improving retrieval and response reliability, and implementing monitoring, testing, and operational controls for regulated telecommunications workflows.

Location: Poland, fully remote

Company

hirify.global provides business and technology advisory, enterprise solutions, managed services, product development, and software development through a global specialist network.

What you will do

  • Build and maintain secure, scalable AWS infrastructure for a production agentic AI platform.
  • Provision infrastructure with infrastructure-as-code practices and deploy containerized components in AWS, including ECS.
  • Configure IAM, secrets management, encryption, monitoring, logging, security scanning, and performance controls.
  • Develop Python services and REST APIs supporting AI-driven workflows and business capabilities.
  • Contribute to retrieval-augmented generation, LLM orchestration, AI-agent integrations, and retrieval-quality evaluation.
  • Develop automated unit and integration tests with pytest and participate in technical design, code reviews, and GitHub workflows.

Requirements

  • Hands-on experience operating production AI/ML or GenAI platforms in AWS.
  • Practical knowledge of AWS infrastructure, preferably ECS, IAM, and Secrets Manager.
  • Experience with Terraform or other infrastructure-as-code practices and Docker-based production deployments.
  • Experience with cloud security, access controls, secrets management, encryption, monitoring, logging, and operational controls.
  • Production-quality Python development, REST APIs, automated testing with pytest, and GitHub-based development workflows.
  • Mid-level experience and availability for an initial 6-month B2B engagement, with possible extension.

Nice to have

  • Experience with production LLM systems, AI agents, agentic workflows, or retrieval-augmented generation.
  • Knowledge of LLM orchestration, tool calling, AI workflow management, and response-quality evaluation.
  • Understanding of guardrails and security for production GenAI solutions.
  • Experience in regulated, security-sensitive, or customer-facing environments.
  • Knowledge of telecommunications products or customer-service processes.

Culture & Benefits

  • Fully remote work from Poland.
  • Equal opportunities in recruitment, career development, and leadership.
  • Inclusive environment built around diverse backgrounds and experiences.

Hiring process

  • Application with a CV.
  • Talent call followed by a technical interview.
  • Customer interview for applicable roles, followed by an offer and onboarding.

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