As a Senior AI Builder, you'll design and implement AI-native engineering solutions, focusing on building production infrastructure and enhancing the product development lifecycle.
Senior AI Engineer (Forward-Deployed)
🕒 13 days ago
AI AgentsDevOpsCI/CDLangchain
📜 Description
- Design, build, and operate AI agents in production with a multi-agent architecture.
- Ship fast and often, iterating daily based on real production issues.
- Deploy and operate autonomously, managing CI/CD and monitoring.
- Integrate internal data to build relevant context for AI agents.
🛠️ Requirements
- 5+ years shipping and running production systems with production-grade code.
- Whole-system thinker who challenges architecture decisions.
- Comfortable with ambiguity, turning fuzzy problems into shipped solutions.
- DevOps-fluent, owning deployment end-to-end and debugging network environments.
- Hands-on experience shipping agents to production using frameworks like ADK or LangChain.
- Fluent in French and English.
✨ Benefits
- Learning, every step of the way: Access to English classes and 155,000+ courses on Udemy, plus a strong internal culture of knowledge-sharing and support.
- Flexible for life : A remote-friendly setup
- Relocation assistance for international talents
- Wellbeing that works : Top-notch private healthcare (70% covered)
- 6-week second-parent leave
- Extra time off if your child is sick and needs you
- Collaborate directly with business teams to discover needs and contribute to architectural vision.
Full job description
At Brevo, we’re not just building a CRM. With our technology, we’re helping millions of organizations build lasting relationships with their customers.
From emails and SMS to WhatsApp, Chat, and Marketing Automation, our tools are intuitive, powerful, and built to scale with every ambition. We give businesses a clear view of the customer journey, so they can focus on what matters: connection.
As a certified B Corp, we’re proud to grow with purpose, committed to high standards of social and environmental impact, not just performance.
Today, more than 500,000 businesses across 180 countries—from NGOs like Amnesty International to global brands like Carrefour, eBay, Louis Vuitton, and Michelin—trust Brevo to engage their audiences, cut through complexity, and deliver results. Our reliable technology and 75+ integrations help them create unparalleled customer experiences, without the usual tech headaches.
We recently exceeded 200m ARR and reached a major milestone by 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.
Why join us ?
- A rare, AI-native playground: make a profitable scale-up's operations AI-native, with agents in production and visible weekly impact, backed by best-in-class tools (Claude, internal agentic tooling, dedicated observability) and an AI-assisted engineering culture.
- Real autonomy: define problems with business teams, own solutions through to production.
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:
Why people love working at Brevo:
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