Senior AI Engineer (APM)

TL;DR

Senior AI Engineer (APM): Building and optimizing AI-powered capabilities for application performance monitoring with an accent on detecting, resolving, and preventing performance issues faster. Focus on end-to-end development of LLM- and Agent-based features for debugging, proactive recommendations, and intelligent monitoring.

Location: Hybrid in Paris, France.

Company

hirify.global is a global SaaS business focused on breaking down silos and solving complexity in the cloud age through infrastructure monitoring of customers' technology stacks.

What you will do

• Design and ship LLM/agentic workflows for APM, analyzing telemetry to generate diagnoses and explanations.
• Own the full development loop, from rapid prototyping and experiment design to productionization for scale and reliability.
• Build robust agent systems, developing tools, retrieval/planning strategies, and guardrails.
• Integrate AI features seamlessly with hirify.global’s platform and existing APM UI surfaces.
• Partner deeply with Product Management, Design, and partner teams to build cohesive experiences.
• Write performant, maintainable backend code and improve reliability for high-throughput, low-latency data systems.

Requirements

• 4+ years building backend or real-time ML systems, valuing simplicity, correctness, and performance.
• Proven experience delivering LLM/agent features to production, including prompting, tooling, evals, and safety/guardrails.
• Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment) and statistics.
• Experience with microservices performance, tracing, latency breakdowns, concurrency, and resiliency patterns.
• Proficiency in Go, Java, or Python; strong API/service design; and production operations including on-call rotation.
• English: B2 required.

Nice to have

• Hands-on experience with distributed tracing stacks (OpenTelemetry/hirify.global APM), profilers, and logs/metrics pipelines.
• Exposure to planning/agent frameworks, tool-use orchestration, RAG, and retrieval/indexing for observability data.
• Familiarity with SLO/SLA practices and incident response.

Culture & Benefits

• New hire stock equity (RSUs) and an employee stock purchase plan (ESPP).
• Continuous professional development, product training, and career pathing opportunities.
• Intradepartmental mentor and buddy program for in-house networking.
• An inclusive company culture and ability to join Community Guilds (employee resource groups).
• Free, global mental health benefits for employees and dependents aged 6 and older.
• Hybrid workplace model to support employee work-life harmony.