AI Engineer

scalr; San Francisco (CA); Sur place; USD 210 000 - 280 000; Plein temps

Résumé du poste

scalr, a frontier AI research and deployment leader in San Francisco, seeks a Forward Deployed Engineer to push cutting-edge models from the lab into enterprise production. You will own the technical strategy and end-to-end delivery for customers at the edge of AI adoption.

You will architect agentic systems, orchestrate LLM workflows across cloud, hybrid, and on-prem environments, and partner with research to tailor models for client needs.

Qualifications

• Strong engineering background shipping production systems.
• Hands-on with modern AI stacks (RAG, vector databases, agent orchestration, evals, fine-tuning).
• Self-starter who thrives in fast-moving, high-ownership environments.

Responsabilités

• Architect and build agentic systems with state-of-the-art models.
• Orchestrate LLM workflows and integrate with enterprise infrastructure.
• Collaborate with research teams to tailor models to customer needs.
• Ship reliable systems across cloud, VPC and on-prem environments.
• Help write the playbook for a growing FDE org from the ground up.

Connaissances

Production systems

AI stacks

Self-starter

Outils

Python

TypeScript

Docker

Kubernetes

CI/CD

RAG

Vector databases

Agent orchestration

Eval frameworks

Fine-tuning

Description du poste

I'm hiring on behalf of one of the most exciting names in frontier AI right now. A very well-funded research lab, with a founding team pulled from the biggest names in the field.

This is a chance to sit right at the edge where cutting-edge AI research meets real-world enterprise deployment.

Join the Applied AI team as a Forward Deployed Engineer. You'll work hands-on with enterprise customers to take advanced models out of the lab and into production, owning the technical strategy and delivery end-to-end.

What you'll be doing:

• Architecting and building agentic systems with state-of-the-art models
• Orchestrating LLM workflows and integrating with complex enterprise infrastructure
• Working alongside research teams to tailor models to customer needs
• Shipping reliable systems across cloud, VPC and on-prem environments
• Helping write the playbook for a growing FDE org from the ground up

What makes you a fit:

• Strong engineering background shipping production systems (Python, TypeScript)
• Comfortable deploying in cloud/hybrid environments (Docker, Kubernetes, CI/CD)
• Hands-on with modern AI stacks: RAG, vector databases, agent orchestration, evals, fine-tuning
• A genuine self-starter who thrives in fast-moving, high-ownership environments