Senior Software Engineer, Agentic Infrastructure

Handshake • San Francisco, CA

1d • Hybrid

About The Position

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 the forefront of AI at Handshake, architecting & building 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.

Requirements

• 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

Nice To Haves

• Open-source contributions to LLM or agent frameworks
• Prior experience at an AI-native company or on a dedicated AI platform team

Responsibilities

• 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

Benefits

• Equity in a fast-growing company
• 401(k) match
• Competitive compensation
• Financial coaching
• Paid parental leave
• Fertility benefits
• Parental coaching
• Medical, dental, & vision
• Mental health support
• $500 wellness stipend
• $2,000 learning stipend
• Ongoing development
• Internet stipend
• Commuting stipend
• Free lunch in SF office
• Free gym in SF office
• Flexible PTO
• 15 holidays
• 2 flex days
• Team outings
• Referral bonuses

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed