Software Engineer, Agent (brazilian Portuguese Speaking)

Sierra Sierra · AI Frontier · San Francisco, CA · Engineering

Software Engineer focused on building and shipping production-grade AI agents for enterprise customer experiences. 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. Requires Brazilian Portuguese and English fluency, strong technical problem-solving, and a builder mindset.

What you'd actually do

  1. Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
  2. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
  3. Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
  4. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.

Skills

Required

  • Brazilian Portuguese fluency
  • English fluency
  • Experience building and scaling end-to-end production systems
  • Strong technical problem-solving skills
  • Comfort working directly with customers
  • Excellent communication skills

Nice to have

  • Experience building or deploying AI/LLM systems in production
  • 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
  • production environments
  • AI agents
  • production
  • AI agents
  • AI agents
  • AI agents
  • AI/LLM systems in production
  • AI agents

Other signals

  • AI agents
  • production systems
  • customer-facing