AI Engineer / Prompt Engineer
Role summary
Wonder, the AI and innovation label of Conscious Minds, is seeking a freelance AI Engineer/Prompt Engineer to build production-ready AI systems for brands. This role requires a strong engineering foundation in Python, JavaScript, APIs, and cloud platforms (GCP, AWS, Azure), with hands-on experience in RAG, vector databases (Pinecone, Weaviate, Chroma), and LLM integration (Claude, GPT, Gemini). You will design and implement AI tools, workflows, and pipelines, working across the full stack and orchestrating LLMs into scalable systems. Familiarity with agent frameworks like LangChain or LlamaIndex is essential. The ideal candidate can translate creative needs into technical specifications and communicate effectively with non-technical teams, focusing on shipping functional systems rather than prototypes.
AI Engineer / Prompt Engineer
Please note that this is a Freelance role.
Remote location is fine, within the US and able to work PST is required.
We build AI systems for brands, not demos. Wonder — the AI and innovation label of Conscious Minds — is looking for a freelance generative media artist on the engineering side: someone who can architect systems with real technical depth, ship production-ready pipelines, and still communicate fluently with a creative team.
You vibe code. You also know exactly why it works — or doesn't.
WHAT YOU'LL DO
- Build AI-powered tools, workflows, and pipelines for client and internal production projects
- Design and implement RAG systems, vector search, and document processing pipelines
- Integrate and orchestrate LLMs (Claude, GPT, Gemini) into scalable, production-ready systems
- Work across the full stack — from API integration to lightweight front-end interfaces
- Translate creative and strategic needs into technical specs and ship them
- Think critically about system architecture — what scales, what breaks, what's actually necessary
WHAT WE'RE LOOKING FOR
- Solid engineering foundation — Python, JavaScript, APIs, cloud (GCP, AWS, or Azure)
- Hands-on experience with RAG, embeddings, vector databases (Pinecone, Weaviate, Chroma, etc.)
- Familiarity with agent frameworks — LangChain, LlamaIndex, CrewAI, or similar
- Experience deploying AI systems that handle real load, not just prototypes
- Comfort with vibe coding and AI-assisted development, paired with the judgment to know when to slow down
- Ability to communicate clearly with non-technical creative and strategy teams
TOOLS & TECHNOLOGIES
Python
·
LangChain / LlamaIndex
·
RAG & vector search
·
Anthropic / OpenAI APIs
GCP / AWS
·
Node.js
·
n8n / Make
·
REST APIs
·
SQL / NoSQL
NICE TO HAVE
- Experience with media, advertising, or creative production pipelines
- Familiarity with video/image generation APIs — Runway, Veo, Flux, Stable Diffusion
- Prior work with internal tooling or custom AI applications