Lead architect as Senior Software Engineer for AI-first .NET platform in a high-velocity team. Transform AI workflows into production code while collaborating on strategic evolution.
Responsibilities
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
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.
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