Founding MLE - LLM Security Start-Up

Montash; California; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive cash compensation

Meaningful equity

Job summary

Montash is seeking a Founding MLE to lead and scale its core AI systems in California, Missouri. This is an opportunity to build AI infrastructure ensuring security and compliance. The role involves ownership of AI systems, making architectural decisions, and improving AI reliability.

Ideal candidates have a track record of deploying AI systems successfully and a deep understanding of AI evaluation frameworks. The startup is backed by a Tier 1 VC, offering competitive cash compensation and equity.

Qualifications

• Experience shipping AI systems into real-world production with meaningful user scale.
• Deep understanding of evaluation frameworks, failure modes, and applied AI tradeoffs.

Responsibilities

• Own the AI system end to end.
• Make core architectural decisions for AI systems.
• Define and improve measures of AI correctness, security, and reliability.

Skills

AI system deployment

Evaluation frameworks

Architectural decision making

AI safety and observability

Job description

Founding MLE | AI Security Startup (Seed, Tier 1 VC–Backed)

An early stage AI security startup is hiring its first senior AI leader to own and scale its core AI systems. The company is building authorization and guardrail infrastructure that ensures enterprise AI systems only access and return data a user is permitted to see.

The company is founded by a repeat founder with multiple successful exits and is backed by a Tier 1 VC. The team is currently 6 people and this hire will play a foundational role in the company’s technical direction.

The role

This person will own the AI system end to end. This is not a research focused role and not a prompt only role. The majority of the work centers on evaluation, safety, observability, and production behavior of AI systems used by enterprise customers. The role involves making core architectural decisions, deploying models at scale, and defining how AI correctness, security, and reliability are measured and improved over time.

Profile

They are looking for someone who has shipped AI systems into real world production, ideally with meaningful user scale. Deep experience with evaluation frameworks, failure modes, and applied AI tradeoffs is critical. Titles are flexible.

Logistics

US based, with a strong preference for the Bay Area. Competitive cash compensation and meaningful equity. This is an opportunity to build and lead the AI function from day one.

Interested candidates can reach out directly to learn more.