Member of Technical Staff, Full Stack Software 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

This is a technical lead role for one of NYC's fastest-growing AI unicorns building one of the first truly AI-native companies.

The business is developing production-grade AI agents capable of executing complex, end-to-end workflows, focused on fundamentally changing how companies operate.

You'll be working at the intersection of Full-Stack Engineering, AI Agents, and Infrastructure, developing intelligent systems that automate complex internal workflows and dramatically improve organizational productivity.

The team has already deployed AI agents that write and push code into production, automatically maintain company knowledge, and diagnose and repair internal systems.

The longer-term ambition is to build fully autonomous, end-to-end agentic workflows that can execute entire business processes with minimal human intervention.

What You'll Be Doing

• 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 required to support AI agents operating at scale.
• Context Engineering: Design systems that provide agents with accurate, structured, and continuously updated organizational knowledge.
• Evaluation & Reliability: Build evaluation frameworks to measure agent performance, monitor execution trajectories, and continuously improve reliability.
• End-to-End Ownership: Take ownership of engineering projects from initial architecture and experimentation through to production deployment.

What We're Looking For

• Exceptional software engineering fundamentals with strong experience building and shipping production systems.
• Strong proficiency in TypeScript and/or Python.
• Experience across full-stack development, backend systems, or infrastructure engineering.
• A genuine interest in LLMs, AI Agents, Coding Agents, and Agentic Workflows.
• Strong systems thinking and the ability to solve ambiguous technical problems from first principles.
• Engineers who thrive in high-ownership environments and enjoy building entirely new systems without an established playbook.
• Previous startup or founder experience is particularly interesting, although not essential.

Why Join?

• Join a AI unicorn following a $100M Series B.
• Work directly on the frontier of applied AI and autonomous agent development.
• Build systems already being used in production rather than experimental AI prototypes.
• Join a small, highly technical team with significant engineering ownership and autonomy.
• Help define what the next generation of AI-native organizations will look like.

Tech Stack: TypeScript | Python | AI Agents | LLMs | Infrastructure | MCP