S
Software Engineer, Agent
Contract type
Ongoing
Work mode
On-site
Experience
3 years
Job description
Build and ship production-grade AI agents for enterprise customers, owning the full agent development life cycle from pilot to deployment and iteration. Engineers work directly with large enterprises and startups to solve business problems with AI agents.
At a glance
- Employment
- Full-time
- Work mode
- On-site
What you'll do
- Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, running in production environments across industries like finance, healthcare, and commerce
- Drive the Agent Development Life Cycle (ADLC): complete ownership and autonomy from initial pilot through deployment and continuous iteration, defining ADLC best practices
- Partner with large enterprises and cutting-edge startups to understand business challenges and build AI agents that transform how they operate at scale
- Build the future of the platform: surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform
- Design and build AI agents for large telecommunications and media companies that outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and integrate them at scale to enterprise-grade customers
What we're looking for
- 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 - finding creative ways to overcome obstacles and ship
- 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
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
Benefits
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee
- Discretionary benefit stipend
- Free alphorn lessons
- Eligible full-time employees can participate in Sierra's equity plans
Apply
Direct apply at Sierra
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About Sierra
Building a platform to enable every company in the world to build better, more human customer experiences with AI
Sierra is primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. It partners with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health.
Mission
To enable every company in the world to build better, more human customer experiences with AI
Key facts
- San Francisco
- Primarily an in-person company based in San Francisco
- Growing offices across North America, Europe, and Asia
- Co-founded by Bret Taylor and Clay Bavor
- Bret Taylor serves as Board Chair of OpenAI and was previously co-CEO of Salesforce and CTO of Facebook
- Clay Bavor spent 18 years at Google, most recently leading Google Labs
Partners & customers
SoftBankUberRivianCLEARSutter Health
What they value
- Trust
- Customer Obsession
- Craftsmanship
- Intensity
- Family