Deployed Engineer (Early Career)
LangChainLLM Orchestration company
On-site$155,000 - $165,000+Junior
Sequoia Capital
Benchmark
IVP
Amplify Partners
CapitalG
Sapphire Ventures
Sales & Account Management
About the role
TL;DR
Help customers build and deploy production AI agents, focusing on technical wins and architecture.
- •You'll work on some of the hardest problems in applied AI alongside customers, helping teams build production-ready AI agents.
- •This role is hands-on and technical, focusing on achieving technical wins and co-designing agent architectures.
- •Key Responsibilities Co-architect and co-build production AI agents with customer engineering teams.
- •Own the technical win in pre-sales by designing POCs and guiding evaluations.
- •Help customers deploy and operate agent-based applications.
- •Advise customers post-sale on architecture and best practices.
- •Surface field feedback and contribute reusable patterns and example code.
- •Requirements 3+ years in a relevant technical role, ideally in a startup or scale-up.
- •Strong Python and JavaScript fundamentals.
- •Experience designing agent-based or LLM-powered applications.
- •Comfortable working directly with customers during technical evaluations.
- •Ability to explain technical tradeoffs clearly and build trust with developer audiences.
Required skills
PythonJavaScriptLangChain
Nice-to-have skills
AWSGoogle CloudAzureKubernetesDocker
Domain expertise
aideveloper-toolsproductivity
Benefits & perks
medical, dental, vision, flexible vacation, 401(k), meals on in-office days
Tech stack
PythonJavaScriptLangChainAWSGoogle CloudAzureKubernetesDockerGit