Design and build the core agentic platform powering Zip's AI products, including orchestration, memory, retrieval, and document processing infrastructure.
Own end-to-end delivery of platform capabilities — from architecture decisions through production — with real influence over how the broader engineering organization builds AI.
Partner closely with every product team at Zip to understand their needs, surface shared patterns, and ship reusable infrastructure that raises quality across Intake AI, Chatbot, IP Agent, Contract Orchestration, and Payments simultaneously.
Push the frontier of applied AI engineering: LLM orchestration with LangGraph, RAG pipelines, agentic document parsing, and self-correcting memory systems.
Build and evolve eval frameworks and observability tooling that make AI systems measurably more reliable over time.
Translate ambiguous, open-ended problems into well-scoped technical solutions, without waiting for a playbook that may not yet exist.

Requirements

We are hiring software engineers across all levels. Most of our open roles are targeting individuals with at least 3 years experience if past work is highly relevant
BS or higher, in Computer Science or related technical field involving coding (e.g. physics or math)
3+ years of backend or full-stack software engineering experience in a production environment.
Strong Python proficiency; experience with async frameworks and distributed systems is a plus.
Hands-on experience building or operating LLM-based applications — RAG pipelines, tool use, agents, or eval systems.
Experience with data pipelines, job scheduling (Airflow or equivalent), and vector databases or embedding-based search.
Comfort with observability tooling: tracing, logging, metrics, and alerting in production AI systems.
A track record of owning problems end-to-end — you care whether things work in production, not just whether they shipped.
Ability to drive ambiguous, open-ended problems to a conclusion without a lot of hand-holding.
A platform mindset: you think about who else will use what you build and design for reuse, not just the immediate use case.
Exposure to AI-driven automation or interest in working with AI/ML teams to build intelligent workflows.

Benefits

Start-up equity
100% health, vision & dental coverage options
Catered breakfast, lunch, & dinner
Flexible PTO
ClassPass membership
Monthly commuter benefit
Team building events & happy hours
Home office stipend
Phone/internet reimbursement
Paid parental leave
Fertility stipend
401k plan
Unlimited AI token usage

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonasync frameworksdistributed systemsLLM-based applicationsRAG pipelinesdata pipelinesjob schedulingvector databasesembedding-based searchobservability tooling

Soft Skills

problem ownershipdriving ambiguous problems to conclusionplatform mindset

Certifications

BS in Computer ScienceBS in related technical field