Über diese Senior AI Software Engineer Stelle bei Brevo
The 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
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Design, build, and operate AI agents in production (multi-agent architecture: pre-processing, deterministic routing, LLM-as-judge, SOP-driven agents).
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Ship fast and often: daily iterations driven by real bugs and tickets from production, not by R&D.
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Deploy and operate autonomously: CI/CD, sandbox/production environments, deployment scripts, monitoring (Langfuse, observability for resolver agents).
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Design agent evaluations: evals, LLM-as-judge, fixed-context replay, regression tests : if we can't measure it, we don't ship it.
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Build solid local test environments: reproduce before you fix.
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Integrate internal data to build relevant context accurately and in a controlled way (context engineering).
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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
Must-have:
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5+ years shipping and running production systems, with production-grade code and a real sense of urgency.
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Whole-system thinker: you challenge architecture decisions and weigh the business impact of technical choices.
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Comfortable with ambiguity: you turn a fuzzy problem into a shipped solution without a pre-written spec.
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DevOps-fluent: own deployment end-to-end, infra-as-code, debug network environments (VPN, proxies).
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Agents & LLMs : Hands-on experience shipping agents to production (frameworks such as ADK, LangChain, etc.), applied prompt engineering, evaluation.
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Hands-on experience shipping agents to production (ADK, LangChain, or similar), with applied prompt engineering and evaluation.
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You build with AI daily (Claude Code, Cursor, or equivalent) — not just building agents.
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Fluent in French and English.
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ADK v2 (Google Agent Development Kit) and the A2A protocol.
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Langfuse or an equivalent LLM observability tool.
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LLM cost optimization at scale (caching, routing, model selection).
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Tech lead / CTO background, or forward-deployed-engineer experience.
Nice to have:
Why join us
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A rare playground: making the operations of a profitable scale-up AI native, with agents running in production and visible impact every week.
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An AI-native environment: access to best-in-class tools (Claude, internal agentic tooling, dedicated observability) and an AI-assisted engineering culture.
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Real autonomy: you define problems together with business teams and carry your solutions all the way to production.
This role is not for you if
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You're looking for a research-oriented data science role : we need a builder, not an R&D profile.
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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
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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
