Founding Full Stack Engineer at AlphaHire

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

TypeScript, React, Next.js, Supabase, Prisma, Typesense, OpenAI APIs, Claude APIs, Trigger.dev, LLM Systems, RAG, Embeddings, Agent Frameworks, Frontend Development, Backend Development, Systems Design

Industry

technology;Information and Internet

Description

About the Role On behalf of an early-stage, venture-backed AI startup, we are hiring a Founding Engineer to help build the infrastructure behind AI agents that automate recruiting end-to-end. This company is replacing traditional job boards and manual sourcing with intelligent agents that identify passive candidates, initiate conversations, qualify them, and schedule interviews automatically. They have raised pre-seed funding and already operate at marketplace scale (40K+ talent profiles and hundreds of startup customers). The next phase requires infrastructure that can scale 100x. You will work directly with the founding CTO and ship production systems weekly. This is not a maintenance role — you will design and own core systems from day one. What You’ll Own You will take ownership of one or more of the following high-impact systems: 1. Candidate Data Infrastructure Build large-scale pipelines to normalize resumes, LinkedIn, and GitHub data Use LLMs to extract skills, seniority, and experience Handle high-volume outbound messaging (10K+ messages/day) Improve data accuracy beyond keyword search limitations 2. Agentic Conversation System Develop AI agents that message candidates via SMS and chat Enable agents to answer compensation and role questions accurately Handle objections and qualify candidates autonomously Ensure responses feel human and contextually correct 3. Real-Time Matching Engine Build sub-100ms matching systems for role-to-candidate alignment Implement semantic search using embeddings Account for contextual weighting (e.g., company stage, tenure relevance) Optimize performance and scale Tech Stack TypeScript React / Next.js Supabase Prisma Typesense OpenAI / Claude APIs Trigger.dev What We’re Looking For Experience building production systems at scale Comfortable across frontend and backend development Strong understanding of LLM systems (RAG, embeddings, agent frameworks) Ability to ship quickly with incomplete information Experience building something end-to-end (startup, side project, or internal product) Strong problem-solving and systems design capability Why This Role Is Different Direct collaboration with founders Ownership of core architecture Weekly production deployments Early equity with meaningful upside Visa sponsorship available DL532

Responsibilities

The engineer will design and own core systems from day one, working directly with the founding CTO to ship production systems weekly. Responsibilities include building large-scale pipelines for candidate data infrastructure, developing AI agents for candidate conversations, and creating real-time matching engines.