Staff AI Agent & Full-Stack Systems Engineer

Qualis; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Qualis in New York City is seeking a technical lead to drive AI agent and full-stack initiatives, building production-grade systems that automate complex workflows. You will design, build, and deploy autonomous agents, scalable infrastructure, and interfaces that connect humans with intelligent agents, owning projects from architecture to production.

Ideal candidates have strong TypeScript or Python skills, experience across full-stack or backend, and a passion for LLMs, AI agents, and agentic

Qualifications

• Exceptional software engineering fundamentals with production systems experience.
• Strong proficiency in TypeScript and/or Python.
• Experience across full-stack development, backend systems, or infrastructure engineering.
• Interest in LLMs, AI Agents, Coding Agents, and agentic workflows.

Responsibilities

• AI Agent Development: Design, build, and deploy autonomous agents capable of executing complex, multi-step workflows.
• Full-Stack Engineering: Build production-grade applications, internal platforms, and interfaces that connect humans with intelligent agents.
• Agent Infrastructure: Develop the infrastructure, tooling, and integrations for agents at scale.
• Context Engineering: Design systems providing accurate, structured organizational knowledge.
• Evaluation & Reliability: Build evaluation frameworks to measure agent performance and reliability.
• End-to-End Ownership: Own projects from architecture and experimentation to production deployment.

Skills

TypeScript

Python

Full-stack development

Backend systems

Infrastructure engineering

LLMs

AI Agents

Agentic Workflows

Systems thinking

Startup experience

Job description

Qualis in New York City is seeking a technical lead to drive AI agent and full-stack initiatives, building production-grade systems that automate complex workflows. You will design, build, and deploy autonomous agents, scalable infrastructure, and interfaces that connect humans with intelligent agents, owning projects from architecture to production.

Ideal candidates have strong TypeScript or Python skills, experience across full-stack or backend, and a passion for LLMs, AI agents, and agentic