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reliable technology and
75+ integrations help them create
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becoming a Unicorn, backed by strong growth and global expansion - and we’re just getting started!
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, LLM-as-judge, 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 (Langfuse, observability for resolver agents).
Design agent evaluations: evals, LLM-as-judge, fixed-context replay, regression tests : if we can't measure it, we don't ship it.
Build solid local test environments: reproduce before you fix.
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
5+ years shipping and running production systems, with production-grade code and a real sense of urgency.
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.
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).
Tech lead / CTO background, or forward-deployed-engineer experience.
Must-have:
Nice to have:
This role is not for you if
You're looking for a research-oriented data science role : we need a builder, not an R&D profile.
You want a pure execution role here, the big-picture view and the ability to evolve the system matter as much as the code itself.
Our candidate journey
30 min call with Talent Acquisition
Technical assessment
Vision & systems interview with the Chief Data and AI Officer
Team meet-and-greet
Why people love working at Brevo
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