Software Engineer, Agent (french Speaking)

Sierra Sierra · AI Frontier · London, United Kingdom · Engineering

Software Engineer, Agent role focused on designing, building, and shipping production-grade AI agents for enterprise clients. The role involves owning the Agent Development Life Cycle (ADLC), partnering with large enterprises and startups, and contributing to the evolution of the core platform. Emphasis on delivering reliable, scalable AI systems that drive revenue and transform business operations.

What you'd actually do

  1. Design and deliver production-grade AI agents
  2. Drive the Agent Development Life Cycle (ADLC)
  3. Partner with large enterprises and cutting-edge startups
  4. Build the future of the platform

Skills

Required

  • Experience building and scaling end-to-end production systems
  • Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
  • A builder and tinkerer’s mindset with high agency
  • Comfort working directly with customers to understand their needs and solve real-world problems
  • Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
  • Professional fluency in both French and English

Nice to have

  • Experience building or deploying AI/LLM systems in production
  • Have been a founder or founding engineer
  • Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
  • Prior experience with React, TypeScript, and/or Go
  • Previous roles where you interfaced with customers or led technical projects with external stakeholders

What the JD emphasized

  • production-grade AI agents
  • Agent Development Life Cycle (ADLC)
  • build AI agents that transform how they operate at scale
  • evolution of Sierra's core platform
  • AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
  • AI agents capable of navigating complex customer interactions
  • generalizable AI agent frameworks tailored for industry-specific use cases
  • new agent architectures
  • generative agent development
  • latest voice models and figure out how to integrate them at scale to enterprise-grade customers
  • building and scaling end-to-end production systems
  • fast-changing, ambiguous environments
  • high agency
  • solve real-world problems
  • Professional fluency in both French and English
  • building or deploying AI/LLM systems in production
  • founding engineer
  • eval frameworks
  • agent tooling
  • RAG pipelines
  • prompt engineering

Other signals

  • production-grade AI agents
  • Agent Development Life Cycle (ADLC)
  • customer-facing AI products
  • build the future of the platform