Senior AI Agent Engineer — Production-Ready Systems

ANDE; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

In-office 4 days/week NYC

Job summary

Ande is building an AI-native platform that connects Enterprises and Hospitality. This role owns the intelligence behind the Ande Agent, a real-money, real-venue system used today for reservations and private dining.

You will steer architecture, safety, and scale, while mentoring engineers and collaborating with the AI product manager. The ideal candidate has 5+ years shipping production software and 2+ years deploying LLM agents to real customers, with strong TypeScript and backend

Qualifications

• 5+ years building production software.
• 2+ years shipping LLM agents to real customers.
• Strong TypeScript backend and systems engineering skills.
• Experience with production evals and failure modes.
• Ability to explain agent behavior to product, operations, and customers.

Responsibilities

• Own the agent system architecture, latency budgets, failover and load handling.
• Build tools and capabilities the agent can trust and safely act on behalf of executives.
• Design evals, scenar ios, graders, and LLM judges to enable safe model upgrades.
• Shape memory and supply-learning loop to turn conversations into structured data.
• Develop transformers for consent, triage, ranking and urgency with clear thresholds.

Skills

TypeScript

Backend

Concurrency

Idempotency

Distributed systems

Safety & audit

Communication

AI-native workflow

Education

Degree in CS or Engineering

Tools

LLM agents

Job description

Ande is building an AI-native platform that connects Enterprises and Hospitality. This role owns the intelligence behind the Ande Agent, a real-money, real-venue system used today for reservations and private dining.

You will steer architecture, safety, and scale, while mentoring engineers and collaborating with the AI product manager. The ideal candidate has 5+ years shipping production software and 2+ years deploying LLM agents to real customers, with strong TypeScript and backend