Founding AI Engineer Engineering · Los Angeles, CA — remote friendly · View role →

Furl, Inc.; Los Angeles, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Furl, Inc. in Los Angeles is seeking a Founding AI Engineer to design and build the AI systems that power autonomous remediation across macOS, Windows, and Linux. You will own data collection, model training, and orchestration services, working closely with fellow engineers to ship real impact.

You'll implement data pipelines, train models, and integrate AI outputs into customer workflows, contributing to a fast-paced, hands-on startup culture with ownership and accountability.

Qualifications

• Strong Python background with ML frameworks.
• Experience with PyTorch, LangChain, or Hugging Face.
• Experience engineering data pipelines and model deployment.
• Experience integrating AI inference into production systems.
• Familiar with API orchestration and monitoring.
• Background shipping agentic or LLM-based systems.
• Cybersecurity or IT B2B experience preferred.

Responsibilities

• Design and build AI systems powering autonomous remediation.
• Develop and train models for data classification and action planning.
• Create data pipelines for dataset creation, labeling, evaluation.
• Integrate AI services into backend systems and user workflows.
• Collaborate with frontend and backend engineers to connect AI outputs.

Skills

Python

PyTorch

LangChain

Hugging Face

LLMs

Data engineering

APIs

Model fine-tuning

Job description

Engineering · Los Angeles, CA — remote friendly · Full-time

At Furl, we're building the first agentic remediation platform for IT security — technology that closes the gap between identifying risk and actually fixing it. Today, most organizations surface more vulnerabilities than they can handle. We're changing that by enabling safe, automated remediation across macOS, Windows, and soon Linux. We ingest security and operational signals, classify them into concrete remediation targets, and use an endpoint agent to collect real-time telemetry and execute fixes. Agentic workflows generate and validate fix plans, which are deployed safely at scale through policy-driven autonomy.

This is real infrastructure work with real-world impact. We're building systems that help teams focus on what truly matters — and we're doing it with care, clarity, and craftsmanship.

We're a real startup with a real in-person vibe. We meet 2-3 days per week in Los Angeles to collaborate, build trust, and move fast together. It's a fun environment, but we won't sugarcoat it — the pace is demanding and sometimes uncomfortable through GA. We value ownership over hierarchy and believe great work comes from people who are trusted to think, experiment, and take responsibility.

What You'll Do

As a Founding AI Engineer, you'll design and build the AI systems that power autonomous remediation, from data collection and model training to orchestration services.

• Develop and train models for data classification, remediation generation, and action planning.
• Build pipelines for dataset creation, labeling, and evaluation.
• Integrate AI services into backend systems and user workflows.
• Collaborate with fullstack and agent engineers to connect AI output to customer environments.

Your Experience

• Strong Python background; experience with frameworks like PyTorch, LangChain, or Hugging Face.
• Familiarity with data engineering, retrieval, or model fine-tuning.
• Experience integrating AI inference into production systems (API orchestration, monitoring, etc.).
• Experience with leading large language models (LLMs), fine tuning, and performance.
• Previously shipped efforts utilizing agentic frameworks, such as langgraph/langchain.
• Experience in cybersecurity or IT B2B preferred.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor an employment visa.