Staff Applied AI Engineer

Fiserv•Sunnyvale, CA

23h•Onsite

About The Position

Clover is building AI that acts on live merchant data at enterprise scale. You'll be a hands-on technical leader for applied AI on the Point of Sale platform. You'll define the architecture for AI across inventory, menu, and ordering, and build the systems that modernize how merchants run their business.

Requirements

BS in computer science, engineering, math, physics, or equivalent practical experience.
10+ years in software development, 3+ leading complex production systems.
Algorithms, data structures, Kubernetes, REST APIs, microservices.
Python and a JVM language (Java, Kotlin, Scala); MySQL, MongoDB, and vector databases.
Analytical skills to root-cause systems that fail differently on identical input.
An LLM system that writes to a system of record, with real users.
Specs and contracts, evals that gate releases, statistical judgment.
Tracing, live quality monitoring, latency/cost budgets, regression detection.
Blast radius on writes to a system of record; prompt injection; security and privacy.
Steering coding agents with specs and verifiers; knowing when to intervene.
Turning vague merchant needs into a spec — what to cut, MVP or prove it first.
The technical case to peers, the business case beyond engineering.

Nice To Haves

Gemini and Vertex AI, or production work on Claude, GPT, or Llama.
Coordination, handoff, failure containment across agents; MCP.
RAG over structured records rather than documents, including when not to use it.
Structured extraction from images and PDFs at production quality.
Spring Boot; agent frameworks such as LangChain or LlamaIndex; BDD/TDD
POS, restaurant, or retail systems; menu or catalog data models.
Master's degree in Computer Science or a related discipline.

Responsibilities

Own and drive technical architecture, design, implementation, testing, and deployment.
Contribute towards AI Strategy & Roadmap, and deliver the applied AI portfolio.
Design tool layer for agents writing to inventory — change proposals, permissions, rollback, audit.
Build the retrieval layer (RAG) — agent output grounded in merchant data, current as it changes.
Define behavioral contracts, build the evals that prove them, and ship on evidence, not demos.
Engineer multimodal ingestion — photos, PDFs, spreadsheets into canonical data, reviewed where required.
Build the decision layer on model output: recommendations merchants understand, trust, and act on.
Instrument, operate, and stay on call for what you ship — tracing, cost budgets, live quality.
Extend the shared multi-agent framework, contribute upstream, and use coding agents well.
Coach and mentor engineers, growing their skills and careers in applied AI.
Establish the patterns, guardrails, and components peers adopt.

Benefits

Fuel Your Life program to support your physical, financial, social, and emotional well-being
Paid holidays and generous time away policies
No-cost mental health support through Employee Assistance Programs
Living Proof program to recognize your peers’ extra effort with points redeemable for rewards
Eight Employee Resource Groups to foster a collaborative culture and expand your network
Unparalleled professional growth with training, development, and internal mobility opportunities
Medical, dental, vision, life, and disability insurance options available from day one
Retirement planning and discounted shares with the Employee Stock Purchase Plan
Tuition assistance and reimbursement program
Paid parental, caregiver, and military leave