Langchain Expert

AI Automation Engineer – LangChain & RAG Systems

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About the Role

AI Engineer

You’ll be responsible for taking raw data, unstructured documents, and logic-heavy requirements and transforming them into clean, interpretable, and efficient AI workflows that power various internal tools, automations, and micro-products across marketing, operations, product, and support.

What You’ll Be Doing

• Build and maintain

  RAG pipelines

  using LangChain or similar frameworks
• Work with

  unstructured document loaders

  , implement chunking, and generate custom embeddings
• Design

  vector database

  integrations for high-speed retrieval (Pinecone, Chroma, Weaviate, etc.)
• Create

  custom chains

  that go beyond basic Q&A — implementing logic trees, filters, comparisons
• Connect APIs, databases, and internal tools into the AI workflow using

  FastAPI

  or other backends
• Optimize for performance, latency, and interpretability
• Collaborate with the founder and ops teams to rapidly prototype and ship end-to-end solutions

Requirements

• Proficiency in

  Python

  with hands-on experience in

  LangChain

• Clear understanding of

  RAG architecture

  and how to make it production-ready
• Experience working with

  vector stores

  and embedding models
• Ability to work with

  unstructured data

  : PDFs, HTML, JSON, tables, etc.
• Comfortable with tools like

  FastAPI

  ,

  Supabase

  , or similar stack
• Bonus: Experience with

  no-code/low-code automation tools

  like Make.com, n8n, Zapier
• Bonus: Exposure to tools like GPT-4, Claude, Cohere, or custom LLM deployments
• Bonus: Comfortable working with agents, toolchains, or AI decision trees

Who You Are

• A

  builder

  who ships fast, iterates fast, and doesn’t wait for perfect
• Able to work

  autonomously

  — take broad requirements and convert into finished workflows
• Have experience or interest in

  business automation

  , not just AI demos
• Passionate about simplifying workflows using smart design and AI

Perks & Benefits

• 🚀 Build real systems — not research demos
• 🌍 Fully remote, async-friendly setup
• 💡 High-ownership work environment with creative freedom
• 📈 Work directly with founder & core team to drive automation across the company
• 💸 Monthly salary + growth-based incentives

How to Apply

Send us:

• A short intro about you
• Your GitHub/portfolio/proof-of-work (especially LangChain/RAG-related)
• 2–3 lines about the coolest AI automation you've built
• Use the subject line:

  “LangChain Automator – RAG Ready”