Rga Enterprise Services Company
Senior Design Engineer (Freelance)
United States · Senior · Contract
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About the role
- The goal is consistent, on-brand output across any brand, with no meaningful run-to-run variance.
- You'll constantly diagnose whether problems come from the source system, structure, retrieval, or prompt, and no settled practice exists yet.
- You'll need to have methods for locating which layer is at fault when output degrades, and prompt work that holds up across models (Claude, ChatGPT, Figma, Frontify) rather than being tuned to one provider.
Responsibilities
- AIP is R/GA AI Products, the global group that builds R/GA's own products rather than client campaigns.
- Its first product, BRDNA Sequencer™, launched September 2026 and teaches coding agents to build on-brand.
- It takes the design system, components, patterns, voice and rules a brand keeps in Figma files and PDFs, and encodes them into structured context a coding agent can read and act on.
- It's a way to encode a design system and create new designs from it while working alongside the designer or marketer.
- You turn design systems into something an AI can build with.
- Is a product-focused design engineer owning an AI-to-Figma encoding pipeline.
- The core of the role is able to move from Figma design systems (components, tokens, rules, voice) encoded into structured markdown and a vector space agents retrieve from, then translated back into real Figma designs.
- Has a Dual expertise in design systems and AI fluency.
- You'll have owned a design system through real product-team adoption and change, and built layered, multi-hierarchy prompt systems that have shipped production-grade output.
- You'll audit and rebuild the self-serve journey from "we have a Figma library" to "our agents are building on-brand," then design and build the front end yourself, with no handoff, alongside full-stack engineers.
Requirements
- Figma is a platform to you, not just a canvas: You have worked with Variables, the Plugin or REST API, Code Connect, and library architecture across multiple consuming teams.
- You have applied retrieval and embeddings in practice: You understand chunking strategy, RAG, fine-tuning, LoRAs, and what makes encoding and decoding work - and why.
- You rely on evals, not intuition: You measure model output systematically rather than eyeballing it, and you have built the harness to do it.
- You have driven self-serve and product-led growth: You have shipped an onboarding flow and watched activation numbers move because of a change you made.
- This role is based in the United States and candidates must be located within the United States.
Compensation
- $12k-$26k
This listing is sourced directly from Rga Enterprise Services Company's careers page and normalized into a canonical job model.