Senior Applied AI Engineer

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.