layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Full-Stack Software Engineer at Straiated urethral and anal sphincter electromyography during cystometry in multiple sclerosis | LAYIQ

Ship features end-to-end
— Own work across the whole stack, from the React + Vite frontend to the Node + Express + TypeScript backend. You'll take features from design through delivery and iteration, and you'll care about how they feel for the people using them.
Build the AI agent experience
— Create the interfaces and APIs where non-technical users ask questions and get back insights, visualizations, and automated workflows. You'll make AI feel like a natural, first-class part of the product.
Connect the product to data and models
— Wire the application layer up to our data stack (Postgres + DuckDB) and model inference, and keep query and inference latency low enough that the product feels instantaneous.
Own your work end-to-end
— You won't just pick up tickets. You'll scope, build, and ship features with real autonomy, make pragmatic calls under ambiguity, and take genuine ownership of the things you deliver.
Build internal tooling and automations
— Help build the leverage that lets a small team operate like one ten times its size, automating away the things that slow engineers down.
Care about quality and resilience
— Treat observability, testing, and fault tolerance as part of the job, not an afterthought. You build things that are easy to understand, debug, and recover.
Who You Are
Strong full-stack background
— 4-6 years building and shipping production web applications across the stack, comfortable moving between frontend and backend in the same week.
Fluent on the frontend
— Solid experience with a modern frontend framework (React preferred) and an eye for building clean, intuitive interfaces for real users.
Solid on the backend
— Experienced building and operating production backend services and APIs, ideally in Node.js / TypeScript, with a good grasp of databases and data modeling.
Comfortable with data
— You've worked with relational databases and APIs in production. Experience with analytical or columnar databases (DuckDB, BigQuery) is a strong plus.
Curious about AI integration
— You don't need to be an ML engineer, but you're excited to integrate LLMs and models into a product and learn what makes inference reliable and fast at scale. Prior experience wrapping models or third-party APIs is a bonus.
High agency
— You take ownership, drive features from blank page to production, and don't wait to be told what to do next. You communicate your reasoning clearly and know when to move fast versus when to align first.
Mission-driven
— Excited about using technology to help universities make smarter, faster, more equitable decisions for their students.
Our Stack
Cloud: GCP managed via Pulumi
Data Layer: Postgres + DuckDB
LLM Inference: Privately Hosted Frontier Model on GCP, plus API integrations with GPT, Gemini, and Claude
Backend: Node.js + Express + TypeScript
Frontend: React + Vite

Full-Stack Software Engineer

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