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AI Engineer / FDE

scalr | San Francisco, California, United States+1 | Yesterday
locations: San Francisco, California, United States · New York, New York, United States
$200,000 – $350,000/yr| full-time | on-site | mid
skills: python, typescript, docker, kubernetes, ci/cd, llms, rag, fine-tuning

Applied AI Engineer / Forward Deployed Engineer

SF or NYC onsite / $200k–$350k + equity

We’re hiring an Applied AI Engineer / Forward Deployed Engineer to help bring advanced AI systems into real-world enterprise environments. This role sits at the intersection of engineering, product, and customer delivery, focused on turning modern foundation models into production-grade applications with measurable business impact.

You’ll join an early-stage team on track for significant growth this year, with the opportunity to shape how AI systems are designed, deployed, and scaled across complex enterprise environments.

What you’ll do:

  • Work directly with enterprise stakeholders to understand problems and design AI-driven solutions
  • Build and deploy agentic systems using modern LLM workflows and tooling
  • Integrate AI models into real production environments across cloud or on-prem infrastructure
  • Collaborate closely with research and product teams to adapt models for real-world use cases
  • Own projects end-to-end from discovery through deployment
  • Help define best practices for deploying applied AI systems at scale

What we’re looking for:

  • Strong software engineering fundamentals, ideally Python or TypeScript
  • Experience shipping production systems using modern tooling such as Docker, Kubernetes, CI/CD
  • Hands-on experience with LLMs, RAG pipelines, orchestration frameworks, evaluation tooling, or fine-tuning workflows
  • Ability to operate in ambiguous environments with high ownership
  • Comfort working in customer-facing environments and translating business needs into technical solutions
  • Motivated by building real-world AI systems that deliver tangible value

Strong fit for engineers who want to combine deep technical work with real-world deployment and customer impact.

Benefits

equity
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