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Senior AI Engineer (APM)
Описание вакансии
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TL;DR
Senior AI Engineer (APM): Building and optimizing AI-powered troubleshooting features using LLMs and agentic systems for complex distributed systems with an accent on transforming noisy telemetry data into clear insights and actionable conclusions. Focus on prototyping, experimenting, and iterating on AI-driven experiences, ensuring correctness, clarity, and product impact.
Location: Hybrid in Paris, France, within the EMEA region
Company
is a global SaaS business delivering growth and profitability, focused on breaking down silos and solving complexity in the cloud age through 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, focusing on real user value.
- Define inputs, outputs, and success criteria for LLM-based systems.
- Build agentic workflows with strong guardrails, balancing autonomy, safety, correctness, and reliability.
- Lead features end-to-end in collaboration with peers and partners.
- Design and maintain evaluation loops, including offline evaluations, benchmarks, and A/B tests.
- Write and own production backend services, contributing to reliable, scalable systems.
Requirements
- Senior, product-minded engineer with experience shipping AI systems to production.
- Comfortable working in evolving problem spaces and proactively identifying meaningful opportunities to build.
- Hands-on experience with LLMs or agentic systems, including prompting, tooling, evaluation, and guardrails.
- Experience using AI coding tools such as Cursor or Claude Code, with the ability to reflect on what worked, what didn’t, and why.
- 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.
- English: B2+ required
Nice to have
- Exposure to agent frameworks, tool-use orchestration, retrieval-augmented generation (RAG), and indexing large-scale telemetry data.
- Familiarity with SLO/SLA practices and incident response.
- Hands-on experience with distributed tracing systems (OpenTelemetry, APM), profilers, or logs and metrics pipelines.
- Distributed systems fundamentals and familiarity with observability concepts.
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 and ability to join Community Guilds ( employee resource groups).
- Access to Inclusion Talks and Internal panel discussions.
- Free, global mental health benefits for employees and dependents age 6+.
- Competitive global benefits (may vary based on country of employment and nature of employment).