Senior Software Engineer, Agentic Infrastructure

Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.

Why join Handshake now:

• Shape how every career evolves in the AI economy, at global scale, with impact your friends, family & peers can see & feel

• Work hand-in-hand with world-class AI labs, Fortune 500 partners & the world's top educational institutions

• Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, & Palantir, among others

• Build a massive, fast-growing business with billions in revenue

Handshake is building the infrastructure layer that powers the next generation of AI agents across our platform. As a Senior Software Engineer on our Agentic Infrastructure team, you'll be at forefront of AI at Handshake, will architect & build the foundational systems that allow AI agents to plan, execute, & operate autonomously at scale. This is a rare greenfield opportunity to define how an AI-first company builds for the agentic era — at the intersection of infrastructure, AI, & direct product impact.

• Architect & build the core agent orchestration layer — including tool use, memory, & multi-step reasoning systems — that powers AI-driven features for 20M+ users & 1M+ employers across Handshake's platform

• Design evaluation, observability, & reliability frameworks that ensure agent behavior is safe, auditable, & production-ready at scale

• Establish engineering standards for agentic development across Handshake's platform teams, enabling every engineer to build with AI

• Partner with ML, product, & platform engineers to ship agent-powered features from infrastructure to production at Olympic pace

• 4-7 years of backend engineering experience, with strong proficiency in NodeJS, Typescript, &/or Python

• Experience designing & operating distributed systems at significant scale for developer experience

• Hands-on experience building with LLM orchestration frameworks (LangChain, LlamaIndex, or similar)

• Deep understanding of agent architectures: tool use, multi-step reasoning, memory management, & evaluation

• Experience with cloud infrastructure (AWS, GCP, or Azure) & infrastructure-as-code tools like Terraform

• Experience with Node, JavaScript, CICD, Docker

• A track record of shipping production systems with high reliability, low latency, & strong observability

• Strong communication skills & ability to drive alignment across engineering & cross-functional partners

• Open-source contributions to LLM or agent frameworks

• Prior experience at an AI-native company or on a dedicated AI platform team