Senior AI Software Engineer
AI Summary
Design, build, and operate AI agents in production at Brevo, shipping fast with daily iterations from real bugs and tickets. Own the full lifecycle from agent code through CI/CD, deployment, monitoring, and observability, while collaborating with business teams to shape the agent platform architecture.
About this role
Brevo is transforming all of its operations to become AI native : from customer support to RevOps, including both analytical and operational data consumption. The AI Ops team drives this transformation: it builds and operates AI agents, applications, and the associated tooling, in production.
We're looking for a software engineer who can accelerate the rollout of AI Ops initiatives: pragmatic, end-to-end autonomous (from agent code through to DevOps and deployment), and able to hold a whole-system view, not just their own piece of it.
Your Impact at Brevo:
Design, build, and operate AI agents in production (multi-agent architecture: pre-processing, deterministic routing, SOP-driven agents).
Ship fast and often: daily iterations driven by real bugs and tickets from production, not by R&D.
Deploy and operate autonomously: CI/CD, sandbox/production environments, deployment scripts, monitoring and agent observability (Langfuse).
Design agent evaluations: evals, LLM-as-judge, fixed-context replay, regression tests.
Integrate internal data to build relevant context accurately and in a controlled way (context engineering).
Discover needs directly with business teams (CX, RevOps, Data), hand agents over in forward-deployed-engineer mode, and contribute to the architectural vision of the agent platform.
Who you are:
Whole-system thinker: you challenge architecture decisions and weigh the business impact of technical choices.
Comfortable with ambiguity: you turn a fuzzy problem into a shipped solution without a pre-written spec.
DevOps-fluent: own deployment end-to-end, infra-as-code, debug network environments (VPN, proxies).
Agents & LLMs : Hands-on experience shipping agents to production (frameworks such as ADK, LangChain, etc.), applied prompt engineering, evaluation.
Hands-on experience shipping agents to production (ADK, LangChain, or similar), with applied prompt engineering and evaluation.
You build with AI daily (Claude Code, Cursor, or equivalent) — not just building agents.
Fluent in French and English.
Nice to have:
ADK v2 (Google Agent Development Kit) and the A2A protocol.
Langfuse or an equivalent LLM observability tool.
LLM cost optimization at scale (caching, routing, model selection).
Our candidate journey:
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30 min call with Talent Acquisition
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Technical assessment
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Vision & systems interview with the Chief Data and AI Officer
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Team meet-and-greet
Why people love working at Brevo:
Skills
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