Software Development Engineer 2 "Backend"

Overview

About The Role

Everyday Labs

• , you will join a high-leverage engineering initiative designed to architect and deploy advanced technical solutions for the company’s most critical challenges.
• **Vector**
• serves as the bridge between raw AI capability and practical engineering execution.
• We utilize internal foundational AI infrastructure, specifically

Model Context Protocol (Mcp)

• and
• LLM integration layers, to build
• applications and engineering tools that drive massive operational impact.
• Whether it’s an AI-driven Talent Mapping Engine or a custom Application Tracking System, Vector focuses on turning cutting-edge tech into high-reliability products.
• **Stack**
• : noon’s B2B fintech platform, with a near-term mission to enable seamless financing for marketplace sellers.
• We’re building frictionless onboarding, fast disbursement, and transparent repayment experiences directly within the Seller Portal.
• **Mesh**
• : a new initiative aimed at enabling agentic applications for a wide range of internal and external users.
• Mesh will define and build out the Model Context Protocol (MCP) layers and the supporting infrastructure required to adapt Noon’s applications to this emerging, conversational-first interaction model.

What You’ll Do

• **Architect High-Impact Applications:**
• Lead the engineering effort for key products such as our AI-driven Talent Mapping Engine (Vertex AI), "NoonLaundry," and sophisticated internal App integrations using OpenAI’s SDK.
• **Operational Excellence:**
• Build and scale engineering tools that solve internal bottlenecks, ensuring that AI-native experiences are grounded in practical, high-performance code.
• **Professional Ownership:**
• Take full ownership of service reliability, correctness, and architecture, applying SDE-2 standards to ensure systems are robust and maintainable.
• **AI Implementation:**
• Work with domain experts to refine how we evaluate LLM outputs and improve response quality over time within our production environments.
• **Collaborative Engineering:**
• Partner with internal infrastructure teams to influence the development of our Model Context Protocol (MCP) layers.

What We’re Looking For

• **Professional Depth:**
• 5+ years of impactful experience as a Software Development Engineer, specifically building and maintaining
• large-scale services
• .
• **Python Expertise:**
• Deep, professional-level experience with

Python

• .
• You are expected to write clean, idiomatic, and performance-oriented code.
• **Reliability Mindset:**
• A strong focus on correctness and reliability.
• You have a track record of building services that handle production loads gracefully and are easy to monitor and debug.
• **User-Centric Impact:**
• A mindset that prioritizes real-world impact.
• You understand that the best code is the code that solves a significant problem for the user or the business.
• **Technical Maturity:**
• You bring the discipline of a seasoned engineer valuing documentation, unit testing, and architectural clarity.
• Nice to Have
• **AI System Integration:**
• Previous experience integrating with AI/ML ecosystems (e.g., Vertex AI, OpenAI).

Mcp Knowledge

Model Context Protocol (Mcp)