Applied AI Engineer (LLMs / Agentic Systems)

Role Overview

Recruiting from Scratch is a talent firm dedicated to helping companies build exceptional teams. Our client is a fast-growing AI infrastructure startup building the intelligence layer for financial services. They're operating at the frontier of applied AI, helping financial institutions leverage LLMs and agentic systems to transform their workflows.

What You Will Do

Build and productionize AI systems leveraging LLMs, RAG pipelines, and agentic workflows. Design retrieval systems, develop evaluation frameworks, and implement systems ensuring traceability and explainability of AI outputs.

Why It Might Be a Fit

Ideal candidate has 3–7 years of experience in applied AI, ML engineering, or related fields. Strong experience with LLMs, RAG systems, and agent-based workflows. Strong problem-solving skills and ability to operate in fast-paced environments.

Requirements

• 3–7 years of experience in applied AI, ML engineering, or related fields
• Strong experience with LLMs, RAG systems, and agent-based workflows
• Strong proficiency in Python and modern ML/AI tooling
• Experience with retrieval systems, embeddings, or multi-modal data processing
• Strong problem-solving skills and ability to operate in fast-paced environments

Benefits

• Competitive base salary: $150,000 – $300,000
• Competitive equity package
• Visa sponsorship available
• Work onsite with a small, high-caliber team
• Opportunity to work on frontier AI problems with real-world impact
• High ownership as an early engineering hire (~first 20 engineers)
• Fast interview process (~1 week turnaround)