Senior Applied AI Engineer (Agent Systems)

madinest • United State

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AI Summary

Lead the design, development, and scaling of production-grade agent systems for a cutting-edge AI-driven platform. Own end-to-end architecture, debugging, and evaluation frameworks while collaborating across engineering, product, and infrastructure teams. Requires 4+ years of experience shipping agent systems in production with hands-on expertise in orchestration, tool use, and LLM-based workflows.

Key Highlights

Own end-to-end agent systems architecture, deployment, and reliability in production

Work across infra, frontend, and product to ensure agent functionality and scalability

Drive evaluation frameworks, debugging, and proactive agent capabilities

Key Responsibilities

Design, build, and scale agent systems with real-time response, predictable behavior, and high uptime

Develop and evolve evaluation frameworks for automated checks and human-in-the-loop scoring

Debug and fix production failures using tracing and observability tools

Collaborate with cross-functional teams to ensure agent systems integrate seamlessly with product and infrastructure

Make architecture decisions with incomplete information and document tradeoffs

Review and improve code quality and design documentation across the team

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Technical Skills Required

Agent orchestration and memory management Tool use and API integration Evaluation and behavioral improvement of AI systems

Benefits & Perks

$180K-$240K base salary

Meaningful early-stage equity

Health, dental, and 401(k) benefits

Considerable paid time off (PTO)

Gym budget and lunch stipend

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Nice to Have

Experience shipping agents used by external customers (not just internal demos)

Familiarity with LLM operations, tracing, and observability

Founder or early engineer background with high personal standards

Experience mentoring or leading other engineers

Job Description

Location: San Francisco

Employment Type: Full-time

Location Type: On-site

Level: Mid-Senior Level

About us

Every tool you use was built as an island, so you became the glue between them: a name from Gmail into the CRM, a time from the CRM into Calendly, a note from Calendly into a doc. AI showed up and mostly became an eleventh window to paste into.

We're building a hybrid of AI and software standing on one shared brain. It holds your context and hands you real software built on top of it, so an ordinary scheduling tool becomes one that writes the invite itself and knows which of your busy hours bend, and for whom. Software for the path you repeat, AI for the edge that never repeats.

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