Software Engineer

Nxt Level; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Nxt Level in Austin is seeking two Full-Stack Engineers to join an AI-native platform team building production-grade agent systems for complex legal and government workflows.

You'll work on a TypeScript-heavy stack atop AWS, using coding agents, LLMs, and multi-agent coordination to ship features rapidly. This in-person role demands strong Python/TS, systems thinking, and startup experience.

Qualifications

• 2-4 years of software engineering experience, ideally in startup environments.
• Strong Python and TypeScript experience.
• Strong understanding of LLM capabilities, limitations, and orchestration patterns.
• Experience using coding agents or AI development tools to ship faster.
• Systems thinking and the ability to break complex workflows into reliable architecture.
• Ability to start quickly and work in-person in Austin, TX.

Responsibilities

• Build and ship full-stack features on a TypeScript-heavy platform.
• Architect and orchestrate multi-agent systems across the product.
• Design agent coordination patterns for complex legal workflows.
• Build auditable agent pipelines for legal and government use cases.
• Ship agent systems into production.
• Use coding agents as a primary part of the engineering workflow.
• Collaborate across frontend, backend, infrastructure, and product experience.
• Support UI/UX decisions and intuitive workflows for complex users.
• Partner with the founding team to move ideas to shipped product.
• Define engineering culture and AI-native development standards.

Skills

Python

TypeScript

LLM orchestration

Systems thinking

Ownership

Frontend

AWS

Tools

LangChain

LangGraph

OpenAI SDK

AWS CLI

Job description

Experience:

2-4 years preferred, open to more experienced candidates

About Our Client

Our client is building an AI-native platform for complex legal and government workflows.

The company is hiring two full-stack engineers to join the team in Austin and help build production-grade agent systems from the ground up. This is not a traditional software engineering role where success is measured by how much code someone writes by hand. The team is building with coding agents at the center of the development process.

The right candidate will be defined by their ability to orchestrate AI tools, move quickly, think in systems, and ship production-quality software at a dramatically faster pace than a traditional engineering workflow.

About the Role

Our client is looking for Full-Stack Engineers who can operate in an AI-native engineering environment.

The platform is TypeScript-heavy across the full stack, with AWS infrastructure underneath. While technical depth matters, the core differentiator for this role is the ability to use coding agents, LLMs, and multi-agent workflows to ship at exceptional speed.

This is a strong fit for a builder who has worked in early-stage environments, enjoys ambiguous technical problems, and knows how to turn AI tools into real production leverage.

What You'll Do

• Build and ship full-stack product features across a TypeScript-heavy platform
• Architect and orchestrate multi-agent systems across the product
• Design agent coordination patterns for complex legal reasoning workflows
• Build reliable, auditable agent pipelines for legal and government use cases
• Ship agent systems into production
• Use coding agents as a primary part of the engineering workflow
• Work across frontend, backend, infrastructure, and product experience
• Contribute to UI/UX decisions and build intuitive workflows for complex users
• Partner closely with the founding team to move quickly from idea to shipped product
• Help define the engineering culture, AI-native development standards, and platform architecture

What We're Looking For

• 2-4 years of software engineering experience, ideally in startup environments
• Strong Python and TypeScript experience
• Strong understanding of LLM capabilities, limitations, and orchestration patterns
• Experience using coding agents or AI development tools to ship faster
• Systems thinking and the ability to break complex workflows into reliable architecture
• Ability to operate with high ownership in a fast-moving, in-person startup environment
• Strong problem-solving ability and a high raw-intelligence bar
• Comfort working across frontend, backend, and infrastructure
• Ability to start quickly
• Must be based in or willing to relocate to Austin, TX for fully in-person work

Strong Bonus Experience

• Founder, founding engineer, or early engineer experience at a high-growth startup
• Experience at a YC-backed or similarly high-velocity startup
• Experience building AI products in legal tech, government technology, or regulated workflows
• Open-source contributions to agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI Swarm, DSPy, Instructor, LlamaIndex, or similar tools
• Experience shipping multi-step reasoning, tool-use, or parallel agent orchestration systems in production
• Experience with AI voting agents or multi-agent coordination patterns
• Strong UI/UX sensibility
• Personal side projects or demos showing production-quality multi-agent orchestration
• Prior experience helping an early-stage company scale

Why This Opportunity

• Join an early team building an AI-native platform in a complex, high-impact market
• Work in an environment where coding agents are central to how software gets built
• Own meaningful product and architecture decisions from day one
• Build production-grade agent systems for legal and government workflows
• Work across full-stack product development, agent orchestration, and AWS infrastructure
• Join a fully in-person Austin team moving with urgency
• Step into a role where speed, systems thinking, and AI-native execution are the main competitive advantages