Pre-Sales AI Systems Engineer: Production-Ready Agents

Openkrill; United States; A distancia; USD 200.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

401(k) plan

Flexible vacation

Meals on office days

Descripción de la vacante

LangChain is seeking a Deployed Engineer to tackle the hardest problems in applied AI, building production-grade agent systems for real customers. You’ll work directly with client engineers, from pre-sales through post-deployment, to design and implement robust agent architectures.

This hands-on role emphasizes collaboration, rapid feedback, and scalable patterns. You’ll travel up to 25% and contribute code upstream when it improves customer outcomes, while shaping how LangChain agents run in

Formación

• 6+ years in a relevant technical role, startup/scale-up experience preferred.
• Strong Python and JavaScript skills and systems fundamentals.
• Experience designing agent-based or LLM-powered applications beyond simple API calls.
• Comfort working directly with customers during POCs and evaluations.
• Ability to explain tradeoffs clearly and build trust with developers.

Responsabilidades

• Co-architect and co-build production AI agents with customer teams.
• Own the technical win in pre-sales by designing POCs and guiding evaluations.
• Help customers deploy and operate agent-based applications.
• Advise customers on architecture, best practices, and roadmaps.
• Run technical demos, trainings, and workshops for developers.

Conocimientos

Python

JavaScript

Systems fundamentals

POC design

Architectural reviews

Herramientas

Kubernetes

AWS

GCP

Descripción del empleo

LangChain is seeking a Deployed Engineer to tackle the hardest problems in applied AI, building production-grade agent systems for real customers. You’ll work directly with client engineers, from pre-sales through post-deployment, to design and implement robust agent architectures.

This hands-on role emphasizes collaboration, rapid feedback, and scalable patterns. You’ll travel up to 25% and contribute code upstream when it improves customer outcomes, while shaping how LangChain agents run in