Deployed Engineer
Skills
JavascriptSoftware DevelopmentAmazon Web ServicesArtificial IntelligenceDemosGoogle Cloud PlatformKubernetes
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years in a relevant technical role such as software engineering customer engineering solutions engineering or product engineering
- Strong Python JavaScript and systems fundamentals
- Experience designing agent-based or LLM-powered applications beyond simple API calls including multi-step workflows orchestration and failure handling
- Comfort working directly with customers during POCs architecture reviews and technical evaluations
- Ability to explain technical tradeoffs clearly and build trust with developer audiences
- Responsibility for outcomes not just recommendations
- Bias toward action and enjoyment of figuring things out as you go
- Excitement about operating AI agents in production not just building demos
Nice to have
- Startup experience
- Production AI agents
- LLM evaluation
- Observability
- Guardrails
- Cloud environments
- Kubernetes
Day to day
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs answering deep technical questions and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents research agents and multi-step workflows
- Advise customers post-sale on architecture best practices and roadmap-level decisions
- Run technical demos trainings and workshops for developer audiences
- Surface field feedback and contribute reusable patterns cookbooks and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes