Forward Deployed AI Engineer #11243

Ecco
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$149,760.0 - $183,040.0
Working hours
Regular working hours
Job source

Tech stack

Adobe Illustrator Adobe Photoshop Adobe Creative Cloud Adobe InDesign Adobe Photoshop Lightroom Application Programming Interfaces (APIs) Artificial Intelligence Systems Engineering Software Debugging Microsoft PowerPoint Systems Integration Large Language Models
+8 more
Multi-Agent Systems Generative AI AWS Lambda Backend Adobe Workfront Figma Front End Software Development Serverless Computing

Job description

You will own the bridge between what the customer’s CMO sketched on a whiteboard and what their creative team actually uses on Monday morning. Then you’ll bring what you learned back so the next FDCT moves faster.

This role is for someone who is maniacally focused on customer value. If the customer cannot point to time saved, dollars earned, or campaigns shipped because of your work, nothing else matters.

Duties

  • Embed with enterprise customers. Learn their brand, their creative team, their content supply chain, and the metrics their CMO cares about. Become a trusted advisor in 90 days.
  • Translate a customer brief into a working creative workflow. Compose Firefly Services APIs including Firefly, Photoshop, InDesign, Illustrator, Express, Lightroom, Substance 3D, Audio/Video and Workflow Builder nodes into something that actually runs. Build Figma plugins or design-system integrations when the customer’s creative team works there.
  • Build thin front-ends or conversational experiences and light back-ends using App Builder, Azure Functions, or AWS Lambda. Ship a working URL the customer uses this quarter, not a PowerPoint.
  • Build custom workflow nodes when existing ones fall short. Push reusable ones upstream.
  • Integrate with the customer’s stack - AEM Assets, Workfront, Frame.io, their DAM, their PIM, their brand portal. Negotiate auth, debug API quirks, and own the edge cases.
  • Train the customer’s team. Document. Hand off cleanly so the customer self-serves when you rotate to the next engagement.
  • Demo your work yourself - script, produce, edit. Show real creative outcomes, not abstract slides.
  • Feed the org. Reusable patterns become shared repo templates, workflow templates, or upstream WFB nodes. Every engagement makes the next one faster.

What we’re not looking for

  • Backend-only or distributed-systems engineers with no creative practitioner background.
  • Pure designers or creatives who can’t stand up a working integration.
  • ML / AI researchers chasing frontier-model R&D, not customer outcomes.
  • PMs / consultants who don’t ship. Every person on this team writes code and produces creative work themselves.
  • “I’ll build my portfolio later.” If you do not have one ready at application, please come back when you do.

Per the role expectations, this person is:

  • Building tools/plugins that automate creative workflows
  • Working within content production pipelines
  • Operating in design + engineering environments

We need builders who have worked with:

  • LLMs
  • Image/video generation (diffusion models)
  • RAG pipelines / vector databases
  • Agent frameworks (LangChain, AutoGen, etc.)

Not candidates who:

  • “Used AI tools”
  • “Recommended AI solutions”

Ideal (but not always required):

  • Adobe Creative Cloud / Firefly
  • Photoshop / Figma plugin development
  • Creative SDKs / APIs

Requirements

Do you have experience in Generative models?

Benefits & conditions

$72 - $88 an hour - Full-time, Contract, Pulled from the full job description

  • 401(k)
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance, * 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance

Apply for this position

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch ¡ World Congress 2026 Europe

5:04 min

Configuring the Figma MCP for local code generation

Perf + AI

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 ¡ Coffee With Developers

2:45 min

Executing event-driven code using AWS Lambda functions

Sebastien Stormacq Sebastien Stormacq ¡ LIVE

1:51 min

Leveraging generative AI as a collaborative engineering teammate

Anu Bharadwaj Anu Bharadwaj ¡ World Congress 2023

1:26 min

Implementing custom component libraries with Figma

Philipp Kremer ¡ World Congress 2023

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