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Sierra

Software Engineer, Agent (New Grad 2027)

San Francisco, CA$150k–$180kfulltimeentryAdded today

About this role

Sierra is hiring a Software Engineer to design and deploy production-grade AI agents for enterprise customers across finance, healthcare, and commerce. You'll own the full agent development lifecycle, partner directly with large enterprises and startups, and help shape the platform's future through real-world deployments.

What you'll do

  • Design, build, and deploy production-grade AI agents that drive revenue and operate at scale across industries
  • Own the complete Agent Development Life Cycle from pilot through deployment and continuous iteration
  • Work directly with enterprise customers and startups to understand business challenges and build transformative AI solutions
  • Tune and evolve AI agents in production environments, establishing best practices for agent development
  • Surface customer needs and prototype new tools to guide platform evolution and product roadmap
  • Experiment with emerging AI/LLM technologies like voice models and integrate them at enterprise scale

What they're looking for

  • End-to-end production systems design and scaling
  • Strong technical problem-solving in ambiguous, fast-changing environments
  • AI/LLM systems development and deployment
  • Agent tooling, RAG pipelines, eval frameworks, and prompt engineering
  • TypeScript, React, or Go programming
  • Direct customer engagement and requirements gathering
  • Clear communication across technical and non-technical audiences
  • High agency and ownership mindset
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Sierra

Sierra builds production-grade AI agents for enterprise clients in insurance, financial services, and other industries, enabling companies to automate complex business processes and enhance customer experiences. The company is hiring Software Engineers to design and deploy mission-critical AI systems, develop platform infrastructure, and work directly with enterprise customers on agent development and optimization.

View all jobs at Sierra

Likely interview questions

  • Can you walk us through a complex production system you've built from scratch and the challenges you faced scaling it?
  • Tell us about your experience with AI/LLM systems—what models have you worked with and in what production context?