growthroles

Forward Deployed AI Engineer

Avenue Z Open · verified Oct 23, 2026
Miami Full-time Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Avenue Z. Miami · full-time · no salary stated · we estimate $100,884–$169,894 across the United States.

Estimated pay

Avenue Z has not published a salary for this role. The figure below is our estimate, not theirs.

$100,884 – $169,894
What the middle half of mid-level solutions & sales engineering roles in the United States paid, among postings that did state a salary.
Worked out from 1,014 postings that stated pay, median $130,000. Last updated Oct 23, 2026.
RoleSolutions & Sales Engineering
SeniorityMid-level
LocationMiami
EmploymentFull-time
PostedOct 22, 2026 · 1d ago
Role brief

growthroles summary, based on the employer's posting.

What you'll do

  • Embed with a business team, find where work slows or margin leaks, then deliver an agent to address it
  • Build production agents with planning, memory, retrieval, tool use and approval checks for sensitive actions
  • Connect commerce and advertising platforms, then link creator content and spend to attributed GMV
  • Create agent evaluations and maintain the APIs, queues, authentication, monitoring and cost controls behind each system
  • Measure results, help the team adopt what you ship, and improve systems after launch

What you bring

  • At least three years building and shipping software that others rely on
  • You can develop in Python or TypeScript and have maintained deployed services
  • You have hands-on experience with LLM agents, including tool calls, retrieval, orchestration and evaluation
  • You have integrated third-party marketing, advertising or commerce APIs, and can work with cloud infrastructure and SQL

Who this fits

This role suits a hands-on engineer who can take a business problem from discovery through deployment, explain technical choices to executives, and keep systems running. The position is on-site in Miami four to five days per week, and visa support is unavailable.

From the employer

About Avenue Z, Inc.


Avenue Z is a digital marketing and PR agency engineered to move fast. Brands partner with us to drive revenue and reputation through high-impact public relations, performance media, AI search optimization (AEO), and our creator network. Trusted by leaders in emerging tech, finance and consumer brands, we drive influence across all channels - from AI Search to The Wall Street Journal, Shopify to TikTok, Meta to Google.

The role

We are hiring a Forward Deployed AI Engineer to build and ship the agent systems that run social commerce for our brands and for our own platform.


You will embed with the teams doing the work, performance media, creator and influencer, ecommerce, and analytics, find the process where throughput is lost or money is left on the table, and build a production agent that owns it. Then you move to the next one.


Concretely, this is work like: agents that detect and re-authorize expiring TikTok Shop affiliate codes and Meta partnership permissions before spend stalls, systems that reallocate ad budget toward top-performing creators automatically, pipelines that launch new creator content across every platform daily without a human touching it, and reporting infrastructure that tells a brand what actually drove GMV.


You own the problem end to end: discovery, architecture, build, deploy, evals, adoption, and what breaks at 2am. If your instinct on a messy problem is to open an editor rather than schedule a working session, this is your role.

What you'll do

  • Embed with a business unit, diagnose where throughput or margin is lost, and ship a working agent against it inside the first few weeks.
  • Build production agent systems: tool use, planning loops, memory, retrieval, orchestration, and human-in-the-loop approval gates where money or brand safety is on the line.
  • Integrate deeply against the commerce and ad platforms our revenue runs on: TikTok Shop and TikTok Ads, Meta and Instagram, Amazon, Shopify, Google, Snap, and affiliate and creator APIs.
  • Build data pipelines and analytics infrastructure that tie creator content, ad spend, and attributed GMV into one picture.
  • Build the evaluation harness alongside the agent. Nothing ships to production without a way to measure whether it is right.
  • Own the infrastructure: APIs, queues, auth and token refresh, observability, error handling, rate limits, and cost controls.
  • Instrument everything. Every system you ship gets tied to a number: hours returned, cycle time cut, spend efficiency, GMV or revenue supported.
  • Document it, drive adoption with the team that uses it, and keep improving it after launch.

Who you are

  • Computer science or another technical background, or equivalent hands-on experience as a developer or as a self-taught AI-native builder. We care about what you have shipped and whether it works, not where you learned it.
  • 3 to 5 years building and shipping software that other people depended on.
  • You can read, write, and debug Python or TypeScript. You have deployed and maintained real services and you understand what is happening underneath, whether you wrote every line yourself or built it alongside AI coding tools.
  • Hands-on experience building LLM agent systems: function and tool calling, RAG, orchestration, prompt and context engineering, agent evals.
  • Real experience integrating third-party marketing, ad, or commerce APIs. You know what OAuth token expiry, rate limiting, webhook replay, and undocumented API behavior actually cost you.
  • Comfortable with cloud infrastructure (AWS or GCP), containers, CI/CD, and SQL.
  • You work fluently with AI coding tools such as Claude Code and Cursor. We expect you to build with them. We also expect you to be able to explain, debug, and defend what comes out of them.
  • You understand how performance marketing works: ROAS, CAC, attribution, creative testing, funnel mechanics, affiliate and creator economics. Or you can learn a domain fast and go deep, and you can prove it.
  • Entrepreneurial. You have built something of your own, a startup, a product, a side venture, an open source project, and can point to what you shipped and what it did.
  • High agency. You gather your own requirements, make the call, and ship. You do not wait for a spec, a committee, or a change management plan.
  • Able to sit with a senior executive or a brand's head of ecommerce, understand the business problem in their language, and translate it into a system without a translator in the room.


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.


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.

Please note that we do not offer Visa support of any type, and that the position is on-site in Miami 4-5 days per week.

Not this one either?

Claude or ChatGPT reads the other 93,843 for you.

Get better matches →

Same team as Marketing Monk

What's happening in AI marketing. Daily.

Biggest story, quick hits, a prompt, one action.

7 minutes. 71,000 readers. Unsubscribe anytime.