<style>
/* ---------- Primary button ---------- */
.button_bg {
background-color: #a83018;
transition: background-color 0.3s cubic-bezier(0.4, 0, 0.2, 1);
}
.button:hover .button_bg,
.button:focus-visible .button_bg,
.submit-wrapper:hover .button_bg,
.submit-wrapper:focus-within .button_bg {
background-color: #d24a2f;
}
/* ---------- Secondary button ---------- */
.button_bg.secondary {
background-color: var(--neutral--900);
border: 1px solid var(--neutral--500);
transition:
background-color 0.3s cubic-bezier(0.4, 0, 0.2, 1),
border-color 0.3s cubic-bezier(0.4, 0, 0.2, 1);
}
.button:hover .button_bg.secondary,
.button:focus-visible .button_bg.secondary,
.submit-wrapper:hover .button_bg.secondary,
.submit-wrapper:focus-within .button_bg.secondary {
background-color: var(--neutral--700);
border-color: var(--neutral--300);
}
</style>[fs-list-field]:has(> *),
.tag-component {
transition: background-color 0.25s ease, border-color 0.25s ease;
}
.fs-list-active .tag-component,
.tag-component.fs-list-active {
background-color: #d24a2f;
border-color: #d24a2f;
}
ACTIVE RECRUITING
Senior Applied AI Engineer
We are building the first autonomous control plane that gives global enterprises visibility, active governance, and real-time security guardrails for AI agents. Join our world-class engineering and product team.
ROLE OVERVIEW
We are looking for a Senior Applied AI Engineer to join our on-site Research & Intelligence team in San Francisco. This role is for an experienced engineer who enjoys working close to research problems but is primarily motivated by building, shipping, and improving production systems. You will work on applied GenAI problems including agent evaluation, observability, and safety; translating proven techniques into scalable, reliable components within Alterion’s platform. This is not a pure research role. Success is measured by what ships and what improves in production, not by publications.
What You’ll Work On
- Build and maintain pipelines for model evaluation, scoring, and monitoring in production environments.
- Apply fine-tuning, optimization, and lightweight model adaptation techniques where appropriate.
- Develop embeddings, classifiers, and scoring services that support natural language analysis.
- Run structured experiments to evaluate model performance, tradeoffs, and regressions.
- Partner with engineering and product teammates to translate ideas into working systems.
- Contribute to internal tooling, dashboards, and prototypes that improve agent visibility and control.
Minimum Qualifications
- 5+ years of experience in software engineering, ML engineering, or applied AI roles.
- Strong Python skills and experience building production services or data pipelines.
- Hands-on experience working with LLMs (APIs or open-source models) in real systems.
- Familiarity with model evaluation, monitoring, and performance tradeoffs.
- Experience using ML frameworks such as PyTorch or similar.
Preferred Qualifications
- Experience with GenAI evaluation, observability, or safety tooling.
- Familiarity with embeddings, vector search, or semantic similarity systems.
- Exposure to fine-tuning, PEFT, or cost-aware inference strategies.
- Experience working in early-stage or fast-moving product teams.
Who Thrives Here
- Researchers who like to build, iterate, and see real impact quickly.
- People who enjoy working in-person with a small team on hard, novel problems.
- Builders who combine scientific depth with strong engineering instincts.
- Individuals passionate about defining how autonomous AI agents are evaluated, governed, and optimized.
WHY WE'RE HERE
Enterprise rigor meets world-class engineering.
Apply through our Ashby portal and our talent acquisition team will review and respond within 48 hours.
HIGH COMP & SIGNIFICANT EQUITY
Top-Tier Ownership
We offer highly competitive cash salary bands combined with early-stage equity grants. When we win, you own a piece of the foundation.
WORLD-CLASS LEADERSHIP
Elite Collaborative Team
Founded by former Google Engineering VPs and McKinsey platform leaders. Build alongside engineers who have scaled systems used by millions.
COMPUTE RESOURCES
Pure Compute Power
Direct access to dedicated, state-of-the-art H100 clusters. No compromises or queuing on your training runs and model distortion tests.
Lower runtime risk.
Govern without friction.
Run at agent speed.
See across every cloud, vendor, and team in days, not months.
