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10 дней назад

Senior AI Systems Engineer (Large Language Models & MLOps)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Systems Engineer (Large Language Models & MLOps): Design and deploy production-ready agentic AI systems, including RAG pipelines, multi-step agents, and large language model workflows, with an accent on scalability, observability, and secure operations. Focus on industrializing AI deployments, implementing MLOps, LLMOps, and AgentOps practices, and protecting systems against prompt injection while maintaining traceability and auditability.

Location: Lisbon, Portugal — hybrid work model. Candidates must have an existing legal right to work in the European Union.

Company

hirify.global provides an opportunity to work for a client delivering innovative AI solutions in banking and regulated environments.

What you will do

  • Design and deploy scalable, production-ready AI systems, including agentic AI systems, RAG pipelines, multi-step agents, and LLM workflows.
  • Contribute to end-to-end solution architecture from model selection through API deployment, orchestration, and monitoring.
  • Implement MLOps, LLMOps, and AgentOps practices, including CI/CD, prompt versioning, and model registry management.
  • Build monitoring and observability frameworks covering model drift, latency, cost, and output quality.
  • Apply AI Security by Design principles, including protection against prompt injection, traceability, and auditability.
  • Collaborate with Data Scientists to industrialize AI models, systemize deployment workflows, and document technical solutions.

Requirements

  • 5+ years of experience in software engineering or AI, including at least 2 years deploying LLM or AI systems to production.
  • Proven experience delivering operational AI systems rather than only proofs of concept.
  • Strong Python expertise with LangChain, Transformers, and FastAPI.
  • Experience with AWS or GCP, Docker, Kubernetes, and Terraform.
  • Deep understanding of MLOps, LLMOps, and AI Security by Design principles.
  • Fluent English and French at C1 level; existing legal right to work in the European Union required.

Nice to have

  • Knowledge of regulated financial environments and security standards.
  • Experience with GCP, JavaScript or TypeScript, or advanced research paper analysis.

Culture & Benefits

  • Hybrid work in Lisbon.
  • Opportunity to develop AI systems for banking and regulated environments.
  • Focus on production operations, scalability, security, and measurable business impact.

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