AI Engineer / FDE
scalr | San Francisco, California, United States+1 | 1mo ago
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Original posting (closed) below
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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