Application Engineer – AI-Accelerated Development

The Role

This is a hands-on software engineering role — not a prompt-engineering role. You'll build production-grade applications across the full stack, cloud infrastructure, integration design, and workflow automation. You'll be expected to do it faster and more ambitiously because you know how to leverage AI-assisted development, LLM-powered code generation, and agentic workflows.

What You'll Build

•    Custom web apps on .NET 8 / C# backends with React 19 / Next.js 15 frontends

•    Azure SQL schemas, RESTful APIs, approval workflows, and real-time dashboards

•    Integrations with CRMs, DocuSign, payment processors via REST + OAuth 2.0

•    MCP servers that expose authenticated external services as tool interfaces for AI agents

•    n8n workflows orchestrating multi-step business processes and AI agent pipelines

•    Containerized deployments on Azure (Docker, ACI, Azure Bicep IaC, Azure DevOps CI/CD)

•    E2E test suites with Playwright, integrated into CI/CD pipelines

Claude Code Proficiency — This Is Non-Negotiable

We screen specifically for Claude Code depth. A candidate who uses Claude Code daily will answer these questions instantly. If you can't, please don't apply for this role.

•    CLAUDE.md mastery: You know what CLAUDE.md is, what belongs in one, and understand all three levels — global (/.claude/CLAUDE.md), project-committed, and personal/gitignored. You've written one from scratch for a real project.

•    MCP hands-on experience: You've configured MCP servers in Claude Code and can give concrete examples — not theoretical descriptions. (e.g., I set up a Postgres MCP server so Claude could query schema when writing migrations.)

•    Custom slash commands & agents: You've built reusable workflows in .claude/commands/ and .claude/agents/. You know the difference between them and when to use each.

•    Claude Code Skills: You understand the Skills system — folders in .claude/skills/ with a SKILL.md that uses progressive disclosure (metadata → full instructions). You've created at least one skill to make a workflow repeatable for your team, and you know Skills follow the open Agent Skills standard (agentskills.io) for portability across tools.

Core Technical Requirements

•    3+ years professional software engineering experience

•    Strong TypeScript/JavaScript and Node.js

•    React + Next.js frontend experience

•    Backend experience with .NET (C#) and NestJS

•    SQL schema design, query optimization, and migrations

•    Docker and containerized application deployment

•    REST API design, OAuth 2.0, webhook patterns

•    Git, trunk-based development, atomic pull requests

•    Firm grasp of Sequential Script Automation vs. Reasoning-Based Automation — knowing when deterministic scripted execution is the right call vs. when to deploy LLM-driven agents

•    Familiarity with OpenAPI / Swagger — reading, writing, and using specs as a foundation for MCP server tool schemas

AI Tooling (Critical)

•    Daily active use of Claude Code, Cursor, Windsurf, or similar AI-assisted dev tools

•    Applied understanding of LLMs and thinking models — when to use which model, how to structure context, how to critically evaluate AI output

•    Experience with agentic AI workflows — multi-step processes where AI agents interact with tools and APIs autonomously

•    Working knowledge of MCP (Model Context Protocol) — authoring custom MCP servers that wrap third-party APIs for AI agents

•    Critical thinking about AI output: you know when to trust it, verify it, or discard it

Cloud & Infrastructure

•    Microsoft Azure services (or equivalent + willingness to learn Azure)

•    Infrastructure as Code (Bicep, Terraform, or similar)

•    CI/CD pipelines and automated deployments

•    Networking fundamentals: reverse proxies, DNS, SSL/TLS, CORS

Bonus Points

•    n8n, Make, or Zapier workflow automation

•    Playwright browser automation

•    Atlassian ecosystem (Jira, Confluence APIs)

•    Azure DevOps (Pipelines, Repos, Boards)

•    Redis, SendGrid, Cloudflare

•    Document generation (PDF rendering, e-signature APIs)

•    Consulting or client-facing delivery background

How We Work

•    AI-First: AI tools are a lever, not a crutch — we measure output quality and velocity

•    Agile/Scrum: Sprint planning, standups, demos, retros — you're already fluent

•    Trunk-based Git: Short-lived branches, atomic PRs, no long-running feature drift

•    Documentation culture: Confluence, inline comments, READMEs — you contribute

•    On-call rotation: Infrequent but real — hotfix support and occasional evening deployments

Tech Stack at a Glance

Frontend

React 19, Next.js 15, TypeScript, CSS/Tailwind

Backend

.NET 8 (C#), NestJS, Node.js 20, Express.js

Database

Azure SQL, Redis

Cloud

Microsoft Azure (ACR, ACI, Key Vault, Storage, AD B2C, DevOps)

Infrastructure

Docker, Docker Compose, Azure Bicep, nginx

CI/CD

Azure DevOps Pipelines, Git

Integrations

REST APIs, OpenAPI/Swagger, OAuth 2.0, Webhooks, MCP Protocol

Automation

n8n, MCP Servers, AI Agent Pipelines

AI Tools

Claude Code, Cursor, Windsurf, LLM APIs

Third-Party

Atlassian, Zoho CRM, ClientSpace, DocuSign, Cloudflare, SendGrid

Testing

Playwright, Unit/Integration testing