AI Engineer

scalr; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

scalr, on behalf of a frontier AI research lab, is hiring a Forward Deployed Engineer in San Francisco to ship enterprise-ready AI at the edge. You will own the technical strategy and delivery end-to-end, bridging research and production.

You’ll architect agentic systems, orchestrate LLM workflows, and work with customers to tailor models for real-world deployments across cloud, VPC, and on-prem environments. This is a high-ownership, fast-moving role at the frontier of enterprise AI.

Qualifications

• Proven track record shipping production systems in Python/TypeScript.
• Experience deploying in cloud or hybrid environments (Docker, Kubernetes, CI/CD).
• Hands-on with modern AI stacks: RAG, vector databases, agent orchestration, evals, fine-tuning.
• Self-starter who thrives in fast-moving, high-ownership environments.

Responsibilities

• 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 organization.

Skills

Python

TypeScript

Docker

Kubernetes

RAG

Vector databases

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

We are 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