We have a working AI Proof of Concept (PoC) that proves our vision; now we need the engine that powers the product at scale. As our Senior Software Engineer, you will be the lead architect and primary builder of our production-grade, AI-first .NET platform.
Working directly with the Head of Technology, you will be responsible for moving us from experimental scripts to a robust, observable, and scalable Agentic AI Architecture. We are a high-velocity team that values "Ship Fast, Fix Fast." We utilize agentic AI tools like Claude Code to bypass the boilerplate, freeing you to focus on the high-value architectural challenges of a production-ready system.
What You'll Do
* Productionize AI Workflows: Transform raw AI prompts and experimental logic into resilient production code using .NET 10/C# 14.
* Architect Agentic Systems: Design and build the "Agent Loops" (Planning → Execution → Observation) that allow our AI to interact reliably with our internal databases and external APIs.
* Build for Reliability: Implement "Evals" and Guardrails to manage the non-deterministic nature of LLMs, ensuring outputs are safe, accurate, and consistent for our users.
* Cloud Infrastructure: Partner with the Head of Tech to design and deploy the Azure/AWS infrastructure required to support high-concurrency AI workloads, focusing on latency and cost-per-token optimization.
* AI-First Tooling: Lead the team in adopting and optimizing AI-assisted development workflows (Claude Code, Cursor, etc.) to maintain our 10x velocity.
* Strategic Evolution: Collaborate on the long-term technical roadmap, identifying when to use fine-tuned Small Language Models (SLMs) vs. Frontier LLMs.
Requirements
The "Must-Haves"
* C# Mastery: You are an expert in the modern .NET ecosystem.
* PostgreSQL Expert: You know how to design schemas, optimize queries, and leverage Postgres for high-performance applications.
* Architectural Thinker: You can look at a PoC and know exactly what it needs to survive 100x the current load.
The "Bonus Points" (Will make you stand out)
* Blazor: Experience with Blazor (Server or WebAssembly) for building real-time UIs.
* Azure ML: Any exposure to Azure Machine Learning services or deploying ML models into a production pipeline.
* AI Workflow: You already use Claude Code, Cursor, or GitHub Copilot in your daily flow.