AI Engineer – LangChain / RAG / Vector Search / Fine
Tuning
RemoteRemote OKContract$140k – $220k / year
About this role
Dimension Studios hiring AI Engineer – LangChain / RAG / Vector Search / Fine-Tuning in United States | LinkedIn
Agree & Join LinkedIn
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
AI Engineer – LangChain / RAG / Vector Search / Fine-Tuning
Dimension Studios United States
AI Engineer – LangChain / RAG / Vector Search / Fine-Tuning
Dimension Studios United States 1 year ago Be among the first 25 applicants See who Dimension Studios has hired for this role No longer accepting applications
- Report this job
Direct message the job poster from Dimension Studios
Eli Ferres
Product & Operations @Dimension
Message Eli Ferres
Job Title: AI Engineer – LangChain / RAG / Vector Search / Fine-Tuning
Location: Remote
Type: Full-time / Contract
Start Date: ASAP
---
🚀 About Us
We’re building cutting-edge AI-driven products that solve real-world problems. Our team moves fast, thinks deeply, and works closely to turn ideas into powerful solutions. If you’re excited by the potential of AI and want to help shape the future of intelligent systems, we want to talk to you.
---
🧠 What We’re Looking For
We’re hiring an AI Engineer with strong experience in:
- LangChain and other LLM orchestration frameworks
- RAG (Retrieval-Augmented Generation) systems
- Vector databases (Pinecone, Weaviate, Chroma, Quadrant, etc.)
- LLM evaluation, fine-tuning, and ongoing model optimization
You’ll play a key role in building and iterating on smart, context-aware AI systems. We're looking for someone who can not only ship working solutions fast, but also continuously improve performance, reliability, and user experience over time.
---
✅ Responsibilities
- Build AI-powered features using LangChain and vector search
- Design and implement RAG pipelines for high-quality responses
- Fine-tune models (e.g., via LoRA or full fine-tuning) to improve domain-specific performance
- Evaluate outp