Forward Deployed AI Engineer

Avenue Z, Inc.

is hiring a

Forward Deployed AI Engineer

to build and ship production agent systems that support Avenue Z brands and platform. You will embed with business teams, identify where throughput and margin are leaking, and deploy AI agents with evaluation, infrastructure, and analytics that measure impact.

What you’ll get to do

Embed with teams working on performance media, creator and influencer, ecommerce, and analytics to pinpoint process gaps where throughput is lost or money is left on the table, then take ownership by building a

production agent

against that problem.

Work closely with a business unit to diagnose where

throughput or margin

is lost, shipping a working agent within the first few weeks.

Design and implement production‑grade agent systems including

tool use ,

planning loops ,

memory ,

retrieval ,

orchestration , and

human‑in‑the‑loop approval gates

when money or brand safety is involved.

Integrate deeply with revenue‑driving platforms and APIs such as

TikTok Shop ,

TikTok Ads ,

Meta

and

Instagram ,

Amazon ,

Shopify ,

Google ,

Snap , plus affiliate and creator APIs.

Build

data pipelines

and

analytics infrastructure

that connect creator content, ad spend, and attributed GMV into a unified view.

Create an

evaluation harness

so nothing ships to production without a way to measure whether it is right.

Own the underlying infrastructure:

APIs ,

queues ,

authentication

and token refresh,

observability ,

error handling ,

rate limits , and

cost controls .

Instrument every system to tie outcomes to metrics such as

hours returned ,

cycle time cut ,

spend efficiency , and

GMV or revenue supported .

Document your work, drive adoption with the teams that use it, and continue improving after launch.

Own the problem end to end, from discovery and architecture through build, deploy, evaluations, adoption, and production support when issues appear.

Requirements

Computer science or another technical background, or equivalent hands‑on experience as a developer or self‑taught AI‑native builder.

3 to 5 years

building and shipping software that others depended on.

Ability to read, write, and debug

Python

or

TypeScript .

Experience deploying and maintaining real services, with understanding of what happens underneath.

Hands‑on experience building

LLM agent systems

including function and tool calling,

RAG , orchestration, prompt and context engineering, and agent evals.

Real experience integrating third‑party marketing, ad, or commerce APIs.

Comfortable working with cloud infrastructure ( AWS

or

GCP ), containers,

CI/CD , and

SQL .

Fluency with AI coding tools such as

Claude Code

and

Cursor .

Understanding of performance marketing including

ROAS ,

CAC , attribution, creative testing, funnel mechanics, and affiliate and creator economics.

Entrepreneurial mindset and high agency.

Ability to sit with a senior executive or a head of ecommerce, understand the business problem in their language, and translate it into a system without a translator.

Technologies Python ,

TypeScript , LLM agent systems, function and tool calling, RAG, orchestration, prompt and context engineering, agent evals,

AWS ,

GCP , containers, CI/CD, SQL,

Claude Code ,

Cursor , TikTok Shop, TikTok Ads, Meta, Instagram, Amazon, Shopify, Google, Snap, OAuth, webhook replay.

Benefits

Competitive salary + equity package

Comprehensive medical, dental, and vision plans

401(k)

plan with employer match

Unlimited paid time off policy to support work‑life balance

Professional development opportunities and budget

Nice to have

Direct experience with TikTok Shop, Meta Ads, or Amazon Seller/Ads APIs

Background at a DTC brand, an ecommerce platform, a creator or affiliate network, or a performance agency

Prior forward deployed, applied AI, or founding engineer experience

Location:

Miami, FL (onsite)

Experience:

3+ years

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