Agent Deployment Engineer - French Speaking
Own the technical delivery of enterprise AI agent implementations, including architecture, integrations, guardrails, evaluation, and production deployment. The role requires 5+ years in a technical customer-facing position and business-level English and French fluency.
About the job
Responsibilities
- Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
- Design and engineer agentic logic governing agent behavior, optimizing quality, reliability, and correctness across non-deterministic model outputs.
- Engineer and validate layered guardrails and supervisory controls for safe, compliant, and predictable agent performance.
- Architect, build, and test integrations with customer systems, including data pipelines, CRMs, and ticketing systems.
- Build tools, APIs, and workflows needed for reliable deployments at scale.
- Interface with senior customer technical stakeholders to define success criteria and system requirements and drive delivery against timelines.
- Diagnose, debug, and resolve probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.
- Design evaluation and regression-testing frameworks to validate agent behavior and prevent performance drift.
- Translate customer needs into internal documentation and collaborate with Engineering on platform improvements.
- Partner with APMs, Engineering, Design, and Go-to-Market teams to deliver repeatable agent builds.
Requirements
- 5+ years of relevant experience in a technical customer-facing role, such as solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, or technical product management.
- Native or business-level fluency in written and spoken English and French.
- Strong technical foundation, including writing code, working with APIs, and building and validating integrations end to end.
- Experience delivering production-grade customer solutions requiring structured execution, testing, validation, and iteration.
- Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
- Comfort working in fast-moving, ambiguous environments.
Nice to Have
- Experience building with or around LLMs or AI agents, including prompting, evaluation, guardrails, tooling, or workflow design.
- Experience with enterprise SaaS integrations, including ticketing systems, CRM platforms, and data pipelines, as well as related security and compliance considerations.
- Bachelor's degree in Computer Science, Engineering, or Mathematics, or equivalent technical experience.
- Strong product instinct, including the ability to write concise PRDs, define success metrics, and contribute customer insights to the product roadmap.
Benefits
- Medical, dental, and vision benefits for employees and families.
- Life insurance and disability benefits.
- Retirement plan, such as a 401(k) or pension.
- Parental leave.
- Fertility and family-building benefits through Carrot.
- Monthly wellness and lifestyle stipend.
- Daily office lunches and snacks.
- Take-what-you-need vacation policy; UK employees receive 25 days of statutory leave.
Skills
Python, APIs, LLMs, AI Agents, Prompt Engineering, Guardrails, Workflow Design, Regression Testing, CRM, Data Pipelines, Ticketing Systems, System Design
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