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6 дней назад

Senior AI Engineer (APM)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
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 Engineer (APM): Building and optimizing AI-powered troubleshooting features for APM workflows with an accent on LLMs and agentic systems. Focus on diagnosing and resolving performance issues by synthesizing large volumes of observability data and ensuring correctness, clarity, and product impact in evolving environments.

Location: Paris, France. This is a hybrid workplace, with the team focused on EMEA.

Company

hirify.global (NASDAQ: DDOG) is a global SaaS business focused on breaking down silos and solving complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring.

What you will do

  • Design and build AI-powered troubleshooting features for APM workflows using LLMs and agentic systems.
  • Help users diagnose and resolve performance issues by synthesizing large volumes of observability data.
  • Prototype, experiment, and iterate on AI-driven experiences, guided by evidence and user feedback.
  • Define inputs, outputs, and success criteria for LLM-based systems in evolving environments.
  • Build agentic workflows with strong guardrails, balancing autonomy, safety, correctness, and reliability.
  • Lead features end-to-end, from problem discovery through production and iteration, in collaboration with peers.

Requirements

  • A senior, product-minded engineer with experience shipping AI systems to production.
  • Comfortable working in evolving problem spaces and proactively identifying opportunities to build.
  • Hands-on experience with LLMs or agentic systems, including prompting, tooling, evaluation, and guardrails.
  • Experience using AI coding tools (e.g., Cursor, Claude Code) and reflecting on their effectiveness.
  • Strong sense for correctness, failure modes, and how to measure and improve quality in AI systems.
  • Solid ML and applied science fundamentals, including experiment design and statistics.

Nice to have

  • Exposure to agent frameworks, tool-use orchestration, and retrieval-augmented generation (RAG).
  • Familiarity with SLO/SLA practices and incident response.
  • Hands-on experience with distributed tracing systems (OpenTelemetry, hirify.global APM), profilers, or logs and metrics pipelines.

Culture & Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development, product training, and career pathing.
  • Intradepartmental mentor and buddy program for in-house networking.
  • An inclusive company culture with access to Community Guilds and Inclusion Talks.
  • Free, global mental health benefits for employees and dependents.
  • Competitive global benefits (may vary by country/employment nature).

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